Case Study : Optimizing ERW with StarSteer and DrillSpot

Introduction:

Extended Reach Wells (ERW) presents significant challenges due to complex wellbore trajectories, local dip variations, and the stratigraphic uncertainty of subsurface formations. This study discusses a methodology for optimizing ERW drilling by integrating advanced geosteering techniques using StarSteer and real-time drilling parameter analysis with DrillSpot. These approaches enhance decision-making, reduce geological uncertainty, and improve overall operational performance.

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Key Technologies and Methodology:

• Geosteering Techniques: There are various geosteering techniques available in the market, and the application of these methods depends on the resources at hand. For the case study, techniques based on modeling and stratigraphy were applied by integrating StarSteer, utilizing conventional logs such as gamma ray and resistivity. This approach enabled a more accurate interpretation of the geological formations encountered, allowing for real-time adjustments to the wellbore trajectory and ensuring optimal placement within the target zone.

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Drilling Parameters Integration: The case study integrates geological interpretation with the drilling parameters of previously drilled wells, using DrillSpot, through machine learning, rescales the drilling parameter logs of nearby wells to match the interpreted geology (in StarSteer) of the well being drilled. These parameters are compared with those of the current well, and this integration provides the optimal parameters to achieve the highest rate of penetration (ROP).

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Workflow:

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The implemented workflow reduces geological uncertainty by integrating geosciences, drilling parameters, and analytics. It continuously updates the geological model on the StarSteer, allowing the DrillSpot to auto-correlate parameters based on the drilled stratigraphy. This integration ensures effective coordination between geological data and drilling operations.

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Case Study:

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An offshore extended reach well was drilled, reaching a depth of 4388 meters (MD) with a ratio of 2.55 MD/TVD. The advanced geosteering and parameter monitoring resulted in optimized drilling performance, including the identification of the target with a minimal error margin and precise setting of casing depths.

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Results:

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The well successfully landed at the top of the target with a margin of error of 2 meters, and geosteering positioned it 29 m below the top and 7 m above the base, achieving 100% effectiveness within the geological target. The well reached a total depth of 4388 m, with an average apparent upward dip of 0.9 degrees over a lateral section of 688 m. During drilling, real-time geological data were integrated with drilling parameters thanks to the collaborative environment between StarSteer and DrillSpot , providing optimal parameters to enhance drilling performance.

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Conclusion:

The integration of geosteering with drilling parameters using StarSteer and DrillSpot has significantly reduced operational uncertainties in highly deviated wells. The real-time adaptability and data-driven approach improved the decision-making process, setting a new benchmark in well drilling optimization.

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Acknowledgments:

The authors would like to thank Petróleos Mexicanos (PEMEX) and Rogii Inc for their valuable contribution to the development of this work.

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One of the defining qualities across all ROGII Tech events this year has been the shared spirit of innovation and collaboration among geoscientists, engineers, and industry leaders. At each gathering, we’ve witnessed an eagerness to push the boundaries of geoscience, explore new workflows, and leverage advanced technologies to solve complex challenges in the field.

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About ROGII Tech Houston: Our Houston event, ROGII Tech 2024, continued this tradition by bringing together top minds in the industry to share cutting-edge techniques and discuss the latest advancements in Geoscience, Geosteering and Data integration. The day was filled with insightful talks, hands-on demonstrations, and in-depth discussions about how tools like StarSteer, and Solo Cloud, are revolutionizing well planning, drilling, and real-time decision-making.

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Event Highlights: Here are some of the incredible sessions that sparked conversations and inspired new ideas:

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1. Ian Thomas, Director - Subsurface, Olympus Energy LLC

‍Talk: "Quantifying and Communicating Lateral Drilling Risk Using 3D Visualization in StarSteer."

Summary: Ian showcased how StarSteer’s 3D visualization capabilities can bridge communication gaps and enhance lateral drilling risk assessment, empowering teams to make quicker, more informed decisions.

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2. Daniel Meehan, Upstream Engineering & Geoscience Technology Specialist, ExxonMobil

Talk: "StarSteer, Python, and Co-Pilot: Tips and a Test-Case for LLM Integration."

Summary: Daniel walked us through the integration of Python with StarSteer, using LLMs to enhance workflows and introduce AI-driven efficiencies into geoscience processes.

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3. Daniel Wessel, CEO, Innova Drilling & Intervention

Talk: "Bringing Harmony to Drilling and Geoscience Data Communication."

Summary: Daniel explored how Innova’s tools create a seamless connection between geosteering and directional drilling, focusing on 3D visualization and closed-loop communication systems.

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4. Robert Gilmore, Director - Subsurface Operations, IMPAC

Talk: "Machine Learning in Geosteering: A New Approach to Real-Time Decision Making."

Summary: Robert discussed how IMPAC is pioneering machine learning in geosteering, integrating XRF data to support more accurate, data-driven decisions.

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5. Narayan Shanker, Sr Partner Sales Manager, AWS for Energysome text

Talk: "Multi-Zone Replication for Business Continuity."

Summary: Narayan highlighted AWS’s partnership with ROGII and the role of multi-zone replication in maintaining data integrity and business continuity for Solo Cloud users.

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6. Andrew Stearns, Geoscientist, TGSsome text

Talk: "Optimizing Field Development in the Midland Basin."

Summary: Andrew shared strategies for full-cycle field development, using TGS’s data analytics tools to identify profitable targets and plan efficiently.

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Panel Discussion: A highlight of the day was the panel discussion with John Rosen (Chevron), Lee Bartholomew (Sinclair Oil & Gas), and Pete Christianson (Marathon Oil), where they shared insights on integrating drilling and geoscience for effective data communication and well planning.

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We thank everyone who participated in making ROGII Tech Houston a day of learning and inspiration. Your engagement drives our mission to continually innovate in geoscience. ROGII Tech will be back next year with even more groundbreaking content. Until then, let’s continue advancing together!

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Houston, Texas - October 14, 2024 — ROGII, the industry leader in advanced geosteering, geoscience, and drilling software solutions, is excited to announce the acquisition of TLog Mudlog Editor software from one of the industry leaders in mudlogging technology, TerraSLS. TLog is used to generate vertical, as well as horizontal striplogs for use by geologists.  This strategic acquisition will significantly enhance ROGII's product offerings by providing operators and clients with unprecedented real-time connectivity to mudlogging data.

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Key Highlights:

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• Real-Time Mudlogging: ROGII will integrate TLog into its Solo Cloud platform, which will advance mudlogging data gathering into a real-time data exchange between mudlogging service companies and operators.
• Enhanced Collaboration and Decision-Making: The integration allows operators to monitor mudlogging activities in real-time, facilitating faster and more informed decision-making processes. Users will benefit from immediate access to data, enhancing collaboration and improving overall operational efficiency.
• Mudlogging Data Integrity: This integration will simplify workflows and will ensure data integrity at every stage of the operation. In addition, the mudlogging data will be safely stored on Solo Cloud for future analysis and data integration.

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CEO Statement:

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“Our acquisition of TLog marks another step forward in our mission to deliver the most advanced, real-time data solutions to the oil and gas industry. The integration of TLog’s capabilities into our Solo Cloud platform will revolutionize the way operators and mudlogging service companies interact, making mudlogging a truly real-time process and driving greater efficiency and collaboration" said Igor B. Uvarov, CEO of ROGII. “We look forward to investing in further development of TLog, increasing user-friendliness, expanding adoption worldwide, and making it the industry standard, being used by all mudlogging service companies."

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About ROGII:

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ROGII is a global leader in geosteering, geoscience and drilling software solutions, providing innovative cloud-based software platforms that enhance data management, communication, and decision-making in the oil and gas industry. Committed to driving technological advancement, ROGII’s solutions are trusted by operators and clients worldwide. ROGII is headquartered in Houston, TX.

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About TerraSLS and TLog Software:

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TerraSLS is a cutting-edge technological company specializing in mudlogging solutions. It is known for their innovative software and hardware products in the mudlogging domain. TerraSLS's TLog software generates vertical and horizontal mud logs and strip logs for use by geologists.

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Frequently Asked Questions (FAQs)

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How will this affect current customers?

• Our top priority is maintaining the current user experience and workflows. Existing users will not be affected. 

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Are there any changes that will be made to TLog?

• ROGII plans to release the next version of TLog within the next six months. The interface will not change, and users can continue with their existing workflows. We plan to uphold all existing TLog functionality, while continuing to expand on its capabilities, such as connecting with Solo Cloud. 

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Will there be any change in cost for current TLog users?

• ROGII ensures that costs will remain the same for users, with no foreseeable plan to increase cost.
  
  

How will this affect TControl and other TerraSLS hardware solutions in the field? 

• Users will still be able to connect TLog to existing TerraSLS mudlogging hardware and tools in the field to continue with existing workflows. ROGII ensures that we will continue to uphold this connection and not disrupt operations in the field. 

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What will support look like?

• During the six-month transition period, ROGII will gradually take over all customer support responsibilities. We are committed to maintaining the same high level of support and service. After the transition is complete, ROGII will handle all customer support and questions directly.

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For more information, please contact:

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General Questions: 

Kristina Fortunato, Marketing Manager
k.fortunato@rogii.com

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Technical Questions: 

Julian Chenin, Strategic Integrations & Partnerships Lead
j.chenin@rogii.com

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Team ROGII had an incredible experience at IMAGE’24, one of the most prominent events in the geoscience and drilling community.

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As a gathering point for professionals across the globe, IMAGE provides a unique platform for showcasing the latest innovations and exchanging insights on new technologies shaping the future of the industry.

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During our time at IMAGE’24, we were proud to demonstrate our latest Geoscience and Drilling Optimization tools and workflows, which were met with enthusiasm from attendees.

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Key highlights of the event

• Geosteering in 3 dimensions: We demonstrated StarLite Pro, which allows for Geosteering on the go in the StarLite app. With the Apple Vision Pro, you can easily steer in virtual reality while multi-tasking.

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• Resistivity: Clients from all over the world were interested in learning more about our Resistivity modeling in StarSteer, including Two-Layer Inversion, Multi-Layer Inversion, and our new Deterministic Inversion (coming this month!).

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• ‍Geoscience workflows: We showcased some of the latest Geoscience functionality and workflows coming to StarSteer, including improvements in mapping, well planning, and new attribute calculations. Clients were impressed with the new improvements and features coming.

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• Integration of time-series data: ROGII continues to integrate more time-series drilling data into our projects. At Image, we demonstrated new slide/rotate and Days v Depth status displays in StarLite, as well as automapping in Solo Feed.

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• ‍Preparing for the World Cup: One of the most popular demonstrations ROGII had at Image was an overview of the Geosteering World Cup. The Geosteering World Cup is one of the premier ROGII events of the year, and we took the time at IMAGE to give some tips and tricks for how to prepare for the event.

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As we wrap up the incredible experience of IMAGE'24, we want to extend our heartfelt thanks to everyone who made it unforgettable—our amazing attendees and our inspiring speakers, Matt Mayer (TGS), Charles Connell (PetroAI), Andrew Stearns (TGS) for their insightful presentations.

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Congratulations to Barry Caspar from ExxonMobil, the winner of our raffle contest, who won the ROGII Golf Bag!

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We’d also like to thank the American Association of Petroleum Geologists (AAPG) and SEG for organizing such a fantastic event and bringing together the brightest minds in Geoscience and Energy.Once again, thank you for visiting our booth and interacting with our team. We look forward to welcoming you back next year at IMAGE '25!

As the oil and gas industry moves into more complex and technologically challenging terrains, precise and efficient visualization tools have become essential for analyzing well data. ROGII has developed the Gun Barrel Plot in Data Manager, the primary interface for Solo Cloud, offering a method for visualizing and analyzing well data that provides critical insights into the competitive wellscape.

Creating Gun Barrel Plots has become significantly easier with the integration of StarSteer and Solo Cloud. By using StarSteer for geosteering, you can upload all your data to Solo Cloud, creating a master project that allows you to access all your subsurface data in a tabular format through Data Manager. The Gun Barrel Plot, an advanced analytical tool within Data Manager, revolutionizes your well visualization process.

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What is Data Manager?

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In the past, generating accurate Gun Barrel Plots with numerous wells required hours of manual plotting. Data Manager simplifies this by organizing and visualizing all your data in one place. Unlike traditional software that requires installation and regular updates, Data Manager is a web-based tool accessible directly through your browser. This eliminates the need for complicated setups, making it easier for clients to manage their data efficiently without the hassle of software maintenance.

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The Gun Barrel Plot Overview

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A Gun Barrel Plot is a graphical representation designed to visualize the spatial relationships between wells, their stratigraphic intervals, production data, and other subsurface features. Essentially, it is a cross-sectional view of wells from the side, resembling the barrel of a gun, which is how the plot got its name. This powerful well spacing visualization tool can display both your wells and those of competitors, as well as polygons such as lease lines and production attributes in a 2D cross-section view. Additionally, it allows for the calculation of distances between wells, lease lines, horizons, and grids on the fly using a handy ruler tool.

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What data is required to build a Gun Barrel Plot?

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To build an accurate, comprehensive Gun Barrel Plot, you will need the following data:

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1. StarSteer Data: Compile your geological data into a Master Project within Data Manager. This ensures that all relevant subsurface information is centralized and easily accessible.

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• Wellbore Directional Surveys are crucial for accurately plotting the trajectories in the Gun Barrel Plot
• Geosteering interpretations or formation structure grids give you the stratigraphic framework needed to represent the geological context of your wells

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2.   Public Data: Supplement your data with public datasets from sources like TGS or PetroNinja. For instance, you want to find another typewell or analyze competitors' well trajectories to optimize the planned well trajectory. Whether you have a subscription to the public databases or not, you can still display the data available there

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3.Well attributes: Whether it's production or completion data available in Excel format, you can import it directly and display it on the Gun Barrel Plot.

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Elements displayed on the Gun Barrel Plot

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Selecting the wells to display directly from the map view will produce a plot in either TVT (true vertical thickness) or TVDss scale. Several key elements are displayed to provide a comprehensive visualization of wellbore trajectories:

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• Slice referenced to TVT or TVDss: The gun barrel plot shows the average up down and left right position of the wellbore after 75 degrees inclination by default at the midpoint of the well. The inclination cutoff can be modified by the end user to meet their standards. Deviation lines are then drawn to show the maximum vertical and lateral extents of the well. The vertical lines show 1σ by plotting a bolded line. When the slice is referenced to TVDss, the exact position of the wellbore in space is plotted where it crosses the cross-section line and can change depending on the line’s azimuth and location along the lateral.

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• Geosteering Interpretation Horizons / Grids: TVT scale plots can be generated based on either geosteering interpretations or grids, whereas TVDss scale plots are based on the Grids only. 

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• Vertical projection of the polygon

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• Typewell Log: Displayed alongside the Gun Barrel Plot, this log allows you to see the log response and the stratigraphy surrounding the laterals.

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• Measurements/Distances: This includes triangle measurements between wells, calculated distances from the well to the vertical projection of the polygon, distances from the well to the geosteered horizon and grid, measurements between different polygons, and TVDss or TVT thicknesses between grids and geosteered horizons.

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• Well Attributes: Well and production attributes can be loaded into Data Manager and displayed as dot size or color for each well in the gun barrel plot. All attributes can be normalized per foot by lateral length after the inclination cutoff.

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How to use the Gun Barrel Plot?

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The Gun Barrel Plot is popular in various stages of field life. Here’s how you can make the most of it:

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• Well Planning: During the initial planning phase, use the Gun Barrel Plot to visualize sticks and well plans and ensure optimal well spacing.

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• Competitor’s Well Analysis: By displaying both your wells and competitors' wells, you can strategically plan your drilling operations to maximize the production and minimize interference.

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• Avoiding Collisions: The detailed visualization provided by the Gun Barrel Plot helps in identifying potential well collisions. By understanding the spatial relationships between multiple wells, you can adjust well paths in advance to avoid dangerous collisions.

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• Production Analysis: After drilling, the Gun Barrel Plot can be used to analyze production data and understand the performance of each well. By visualizing production attributes alongside well paths, you can identify patterns and optimize future drilling and production strategies.

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• Regulatory Compliance: Use the Gun Barrel Plot to ensure that wells are drilled within lease boundaries and comply with regulatory requirements. The ability to measure distances to lease lines and other polygons helps to maintain compliance and avoid legal issues.

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• Enhanced Communication: The clear and detailed visualizations can be used to effectively communicate well planning and performance insights to stakeholders. This improves collaboration and decision-making across teams.

Ready to revolutionize your well data visualization process? 

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Discover the power of the Gun Barrel Plot in Data Manager, integrated seamlessly with StarSteer and Solo Cloud. 

What a day to remember! It was fantastic to see our founders, Igor B. Uvarov and Igor Kuvaev, along with the Calgary team, gathered at the Greatest Outdoor Show on Earth—the Calgary Stampede. The atmosphere was electric, filled with the sights and sounds of an iconic event that perfectly embodies the spirit of the West.

We had an amazing time exploring the Stampede grounds, enjoying the rodeo events, and indulging in the unique culinary delights that the festival is known for. It was a perfect opportunity for team bonding, sharing stories, and celebrating our successes together.

The Calgary Stampede was not just an event; it was a celebration of our shared journey and a testament to our strong company culture. We left feeling more connected and motivated to continue our pursuit of greatness. Here's to many more memorable moments and achievements together!

CMP 2024

Team ROGII recently had the opportunity to participate in the prestigious Congreso Mexicano del Petróleo (CMP), a key event in the oil and gas industry. This year's CMP brought together leading professionals, innovators, and companies to discuss the latest advancements and share groundbreaking technologies. As always, ROGII was at the forefront, showcasing our cutting-edge solutions designed to enhance efficiency and accuracy in the field.

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‍Key highlights of the event

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• Rig Data Aggregator: We demonstrated how SoloBox's solution enables custom mnemonics and easily convert unit. This functionality provides seamless data integration and management.

• Real-Time Geoscience Workflow: We showcased how the workflow in StarSteer enables proactive decision-making in determining the casing point depth and how StarSteer provides the necessary tools for making trajectory adjustments, ensuring optimal landing and proactive geosteering.

• Integration of Geology with Drilling Parameters: We illustrated how integrating the interpretation of historical wells with geology in DrillSpot delivers optimal parameters to achieve higher ROP (Rate of Penetration). This integration enhances drilling efficiency and accuracy.

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Team ROGII had the pleasure of collaborating together with Pemex on a methodology that integrates seismic inversion with geosteering technology from the initial stage of trajectory design, real-time monitoring and post-drilling analysis.

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Thank you once again to everyone who joined us at CMP 2024.

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See you next year! 👋

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ROGII’s participation in GeoConvention 2024 marked a significant moment in our journey of pioneering advancements in geoscience and drilling technology. At this prestigious event, we had the opportunity to engage with a global community of professionals, showcasing our latest innovations that continue to push the boundaries of what’s possible in the energy sector.

‍Key highlights of the event

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• Rig Data Aggregator: We demonstrated how SoloBox's solution enables custom mnemonics and easily convert unit. This functionality provides seamless data integration and management.

• Real-Time Geoscience Workflow: We showcased how the workflow in StarSteer enables proactive decision-making in determining the casing point depth and how StarSteer provides the necessary tools for making trajectory adjustments, ensuring optimal landing and proactive Geosteering.

• Integration of Geology with Drilling Parameters: DrillSpot attracted customers as they were able to see geology and drilling data on one platform without switching to different applications. Drilling Data Analytics was also an area of interest for performance optimization.

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Thank you once again to everyone who joined us at GeoConvention 2024.

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See you next year! 👋

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ROGII is proud to have co-sponsored the Core Meltdown with Chinook Geosteering Services. This event was the perfect capstone to an excellent week filled with learning, sharing, and networking. The Core Meltdown was not just an opportunity to unwind, but also a chance to solidify the connections and knowledge gained throughout the week.

We extend our heartfelt thanks to the CEGA - Canadian Energy Geoscience Association team for their exceptional organization and seamless execution of the event. Their efforts ensured that everything ran smoothly and that all participants had a valuable and enjoyable experience.

A special thanks also goes to The Canadian Brewhouse for providing such a fantastic venue and outstanding hospitality. The welcoming atmosphere and excellent service made the event even more memorable.

The Core Meltdown was a vibrant gathering where industry professionals could engage in meaningful conversations, share insights, and foster new relationships. It showcased the strength and collaboration within our community, highlighting the innovative spirit that drives us all forward.

We're grateful for the opportunity to support and be a part of such a significant event. ROGII looks forward to many more collaborations and continues to be committed to fostering a spirit of learning, sharing, and growth within the industry. Here's to more successful events and continued partnerships!

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URTeC 2024

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Team ROGII had a wonderful time showcasing our comprehensive geoscience solutions at URTeC 2024 this month. From our flagship product, StarSteer, to our newest drilling and monitoring optimization software, DrillSpot, we were thrilled to share our innovations with the industry.

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Our booth buzzed with excitement, and what attracted people's attention was Team ROGII showcasing the future of geosteering with our StarLite Pro App on the Apple Vision Pro.

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A couple of URTeC highlights include special presentations by Daniel Wessel, CEO of Innova Drilling & Intervention Ltd,  as well as partners from TGS and Petro.Ai alongside Julian Chenin, our Strategic Integrations and Partnerships Lead. They demonstrated how we bring harmony to drilling and geoscience data communication with our Target Line/Well Plan Integration featuring a U-Zontal well example.

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‍Key highlights of the event

• Integration with Directional Drilling Software: Accepting target lines from StarSteer, updating well plans, and synchronizing everything in real-time

• Connecting Snowflake and Spotfire with ROGII Products: Moving large databases  to and from Snowflake while leveraging Spotfire for powerful analytics to enhance decision-making.

• End-to-End Field Development Workflow: Demonstrating a complete workflow with various applications like TGS and Petro.ai in under an hour, showcasing software interoperability.

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We are immensely grateful to other presenters for their presentations.

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Asal Rahimi Zeynal, Product Owner, TGS

Andrew Stearns, Product Owner, TGS

Charles Connell, Petro.Ai

Kyle LaMotta, VP of Analytics, Petro.Ai

Daniel Wessel, CEO of Innova Drilling & Intervention

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Finally, the final day by announcing the winner of our stylish ROGII Golf Bag, Ryan Givan from Matador.

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Thank you once again to everyone who joined us at URTeC 2024.

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See you next year! 👋

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Calling all geologists, geoscientists, drillers, and data enthusiasts!

📍 Our team is at GeoConvention 2024 in Calgary, ready to dive deep into the world of geoscience, geosteering, drilling analytics, and much more! This convention is a hub for professionals and innovators, bringing together the brightest minds in the industry to explore the latest advancements and exchange groundbreaking ideas.

Join us as we delve into detailed presentations, hands-on workshops, and insightful panel discussions. Whether you're looking to expand your knowledge, discover the latest technological innovations, or network with industry leaders, GeoConvention 2024 has something for everyone.

Don't miss the opportunity to visit our booth and learn about our cutting-edge solutions and services. Our team is eager to share our expertise and demonstrate how our tools can enhance your projects and operations. Let's connect, collaborate, and push the boundaries of what's possible in the geoscience and drilling industries.

We look forward to meeting you and making GeoConvention 2024 an unforgettable experience for all attendees!

In the fast-paced and complex world of horizontal drilling, geosteering accuracy and efficiency are pivotal. Traditional geosteering methods, which rely heavily on manual interpretation, can be time-consuming and challenging, especially when dealing with multiple wells and unexpected geological complexities. However, advancements in machine learning and automation are transforming this landscape. 

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In this case study, we explore how StarSteer's GeoAssist and machine learning technology have revolutionized geosteering in Eagle Ford's Yosko Unit 4H, providing a more accurate, efficient, and streamlined approach to drilling operations.

‍What is Eagle Ford Shale?

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The Eagle Ford Shale is a significant geological formation located in Southeast Texas. It has been known as a world-class source rock for many years but has recently transformed into a world-class oil reservoir. The geological structures of the Eagle Ford require precise navigation within narrow windows with specific properties such as high Gamma Ray, Low Water Saturation, High Young's Modulus, and High Porosity to target the sweet spots in the reservoirs using lateral wells.

Challenge: Manual Geosteering Interpretation with Confidence Log

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In the Eagle Ford reservoir, the traditional geosteering method uses stratigraphy and model-based techniques and requires manual interpretation in real-time, taking a minimum of about 20 minutes for a skilled geosteerer to analyze and adjust the wellbore trajectory. This manual, time-intensive process becomes challenging when drilling multiple wells simultaneously or when unexpected geological complexities arise.

How StarSteer’s Auto GeoAssist helped?

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ROGII implemented StarSteer's ML-based GeoAssist to automate geosteering. This solution allowed for an accurate and confident second opinion on the geosteering interpretation, streamlined drilling operations, and maximized the efficiency of horizontal drilling.

Impact

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Comparison: Auto Geosteering vs. Manual Interpretation

The table below describes the benefits and limitations of each interpretation method.

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Are you working in an unconventional setting with high complexity and requiring multiple wells to be geosteered simultaneously? or Are you interested in having access to a second opinion to add confidence to your interpretation in real-time or post-drilling? Get in touch to discover the benefits of using GeoAssist on your operations.

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Geosteering World Cup' 24

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The much-awaited Geosteering World Cup is back!

Are You the Next Geosteering Champion of the World? Join us for the ultimate geosteering competition and showcase your skills on a global stage. The excitement is building as we prepare for the Geosteering World Cup!Event date: 17th September

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Register Now: https://form.typeform.com/to/ZkHgNmCy

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‍Don't miss out on this incredible opportunity to become a geosteering legend.

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For detailed information, including rules and FAQs, please visit the website below.

https://www.rogii.com/gwc-2024

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🌟 Exciting times at the SPWLA symposium in Rio de Janeiro, Brazil! 🌟

Our team, including Joanna Hansford and Jair Sarmiento, had an incredible time showcasing our latest StarSteer geoscience features and StarLite geosteering capabilities.

The event has brought together a remarkable group of technical specialists, and we've been inspired by the insightful presentations and discussions.It's been a fantastic opportunity to make new connections within the Brazilian energy industry and join the global SPWLA community.

We're thrilled to be part of such a dynamic and forward-thinking network.Thank you to everyone who visited our booth and engaged with us. We look forward to continuing these conversations and exploring new opportunities together

‍#EnergyIndustryhashtag#Geosteeringhashtag#SPWLAhashtag#Innovationhashtag#Networking

Excited to share that the fourth and final session of the Geosteering Fundamentals course at GUtech University was a great success! 📚✨

This intensive course provided students with invaluable insights into a critical aspect of working with StarSteer. By delving into different modules, they gained a deeper understanding of StarSteer's functionality and capabilities.

A big thank you to the fantastic hosts and our colleagues, Elham Alnadabi and Siwar Ben Elhoul, for their excellent presentations and for making the sessions so informative. 👏🏻✨

Connecting with students and expanding their knowledge in geosteering has been an incredible experience. We are confident that these new skills will greatly benefit their future careers!

🌍 Exciting news from the SPE Subsurface Conference in Bergen! Last week, our colleague, Alexandra Zaputlyaeva, presented a joint paper with ConocoPhillips on the latest advancements in geosteering workflows in the North Sea.

This collaborative effort, including our colleague and author Danil Nemushchenko, and Martin Krueger, Senior Geologist, ConocoPhillips, delves into the precision of stratigraphy-based geosteering within carbonate reservoirs on the Norwegian Continental Shelf.

The study demonstrates how integrating all types of geosteering methods in one IT solution helps the operator to reduce the uncertainty in well path location.Learn more: https://lnkd.in/gCA4mFKb‍hashtag#geosteeringhashtag#wellplacementhashtag#operationgeologistshashtag#geologists

Team ROGII is making waves at the SPE Conference 2024 in Calgary 🚀

We're here, showcasing our innovative geoscience solutions to attendees in an entirely new dimension through Apple Vision Pro 🕶. Our cutting-edge technology is revolutionizing the way professionals in the oil and gas industry interpret and visualize geological data. By integrating augmented reality with our advanced software, we are providing an immersive experience that allows users to interact with 3D models of subsurface formations like never before.

At our booth, visitors can explore detailed simulations, gain insights into complex geological structures, and witness firsthand how our solutions can enhance decision-making processes and operational efficiency. We're thrilled to engage with industry experts, exchange ideas, and demonstrate how ROGII is pushing the boundaries of geoscience innovation.

Join us to discover the future of geoscience and see how we're transforming data into actionable insights. Don't miss the opportunity to experience the next level of geological exploration with ROGII at the SPE Conference 2024!

👏 Shoutout to our colleague, Siwar Ben Elhoul, for delivering an insightful presentation on Geosteering Fundamentals to our future Geosteerers at Texas A&M University! 🚀

Siwar's expertise and passion for geoscience shone through as she broke down complex concepts and shared valuable knowledge with the next generation of industry professionals. Her engaging presentation not only provided a solid foundation in geosteering but also inspired many students to pursue careers in this exciting field.

Ready to elevate your #Geosteering skills? 🚀 Our comprehensive range of geosteering courses is designed to cater to all levels, from beginners to seasoned pros. Whether you're just starting out or looking to deepen your understanding, our courses offer hands-on training, real-world applications, and the latest industry insights to help you excel.

Don't miss the chance to enhance your expertise and stay ahead in the rapidly evolving world of geoscience. Explore our course offerings and take the first step toward mastering geosteering.

Learn more: [https://lnkd.in/eVSeiwV](https://lnkd.in/eVSeiwV)

Live from the IADC/SPE International Drilling Conference and Exhibition in Galveston, Texas!

Team ROGII is currently showcasing our state-of-the-art geoscience solutions, bringing the latest advancements in technology and innovation to the forefront of the drilling industry. Our team is excited to demonstrate how our cutting-edge tools and software can enhance efficiency, accuracy, and decision-making processes in geosteering and geological interpretation.

As industry leaders gather to discuss "Performance Future: Elevating Drilling Through People and Technology," we're proud to be part of this influential conference. This event is a crucial platform for exchanging ideas, exploring new technologies, and fostering collaborations that drive the industry forward.

😎 Meet us at booth #605 to experience firsthand how ROGII is transforming the future of drilling. Our experts are on hand to answer your questions, provide live demonstrations, and discuss how our solutions can be tailored to meet your specific needs. Don't miss the opportunity to connect with us and discover how we can help elevate your drilling performance to new heights.

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What an amazing end to the week here in Offenburg at the GeoTHERM expo & congress with Romulo Cuevas Hernandez and ROGII

‍We really enjoyed the opportunity to learn from those working in this rapidly expanding industry, and discover just how much transferable hashtag#drilling and hashtag#well placement technologies are in demand from the oil and gas industry.

Networking with companies such as GEOLOG InternationalHephae Energy Technology, GEOFLUID, SMP Energies, KEMCO GmbH, WellPerform, NextEra Energy Services, formerly Vanguard Energy Services and CoreAll among others has been extremely valuable to better understand the needs of the growing hashtag#geothermal market.

Finally, bumping into old friends and making new acquaintances over coffee has contributed to an excellent event.

Our dynamic duo, Alexandra Zaputlyaeva and Joanna Hansford, participated in the New Technology Seminar hosted by the London Petrophysical Society (LPS) at the prestigious Geological Society, London, for an evening full of networking and knowledge exchange. 🚀

Focused on "Improving Wellbore Placement Accuracy Through Cloud-Enabled Collaborative Decision-Making," Alexandra shed light on the transformative power of cloud technology in the drilling industry.

Here's a glimpse into the topics that were covered:→Optimized data integration from multiple sources, enhancing real-time drilling accuracy. 📊🔄→Cloud-based geosteering workflows, facilitating seamless team collaboration across the globe.

☁️🌍→Automation in directional drilling communications for more efficient operations. 🤖→Keeping teams connected and informed with real-time updates via mobile applications.

📱Take a look at the photos below. 👇

Ready to transform your drilling operations with cloud technology? Learn more: https://lnkd.in/gRkxQjMU.

Our team is at the International Petroleum Technology Conference (IPTC) in Dhahran, KSA, bringing the buzz and showcasing the game-changing StarLite Geosteering through Apple Vision Pro! 😎

This revolutionary technology is set to redefine geosteering by providing an immersive augmented reality experience that allows professionals to visualize and interact with geological data like never before. By leveraging the capabilities of Apple Vision Pro, we are making complex subsurface interpretations more intuitive and accessible, enabling more accurate decision-making and enhancing overall efficiency in the field.

Swing by our booth #5473 to see more! Our team of experts is eager to demonstrate the incredible features of StarLite Geosteering, answer your questions, and discuss how this cutting-edge solution can be integrated into your operations. Whether you're looking to optimize your current processes or explore new possibilities in geosteering, our booth is the place to be.

Don't miss out on this opportunity to experience the future of geoscience technology. See you soon at hashtag#IPTC!

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Attending the SPWLA Houston Technology Conference has been an incredible experience for us. We've had the opportunity to engage with industry experts, share insights, and showcase our innovative solutions to a highly knowledgeable audience. The benefits of participating in this event have been immense, from networking with potential partners to gaining valuable feedback on our products.

By connecting with us at Table 18, you'll discover how ROGII’s advanced technologies can revolutionize your geosteering and geological workflows. Our cutting-edge tools are designed to enhance accuracy, efficiency, and decision-making in your operations. Igor B. Uvarov and our team are here to provide live demonstrations, answer your questions, and discuss tailored solutions that meet your specific needs.

Don't miss this chance to see how ROGII can take your workflows to the next level. We look forward to seeing you and exploring the future of geoscience together.

#StarSteer

During the second day of the Unconventional Resources Technology Conference (URTeC) in Latin America, our team actively engaged with attendees, strengthened connections, and built relationships within the industry. Our booth has been a hub of activity, filled with dynamic conversations and demonstrations of our cutting-edge technologies. We’re thrilled with the positive feedback and enthusiastic responses from the attendees who have experienced our innovations firsthand.

As we look forward to more insightful exchanges on the last day of the exhibition, we remain committed to fostering these invaluable connections. It’s a pleasure to see familiar faces among our clients, make new acquaintances, and share our latest innovations with the audience.

Our interactions have not only solidified existing partnerships but also opened doors to potential collaborations that can drive the industry forward. The discussions have been enriching, covering the latest trends, challenges, and opportunities in unconventional resource exploration and production.

We invite everyone to visit us and explore how our solutions can transform your operations, enhance efficiency, and deliver tangible results. Let’s continue to push the boundaries of what’s possible in the industry, together. See you at the exhibition!

#URTeC #Innovation #Networking #UnconventionalResources #IndustryLeadership

🚀 As 2023 speeds to the finish line, we want to take a moment to express our heartfelt appreciation to the incredible individuals who make ROGII great! Your dedication, hard work, and passion have driven our success and innovation throughout the year. Thank you, Team ROGII, for all that you do! Together, we continue to push boundaries and achieve remarkable milestones.

Here's to many more accomplishments and an even brighter future ahead.

#TeamworkMakesTheDreamWork

Our latest integration with INNOVA is a game-changing innovation for geosteering operations!

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The StarSteer and Innova Well Seeker integration presents a streamlined and efficient solution for collaborative well planning and drilling operations. Beginning with the connection of Well Seeker to the Solo Cloud database and then linking it to the active project in StarSteer, users benefit from a real-time, bidirectional exchange of critical information. Starring a target line in StarSteer triggers instantaneous transmission of data to Well Seeker, where the data is utilized to generate a offset plan for the directional driller. This plan is promptly sent back to StarSteer in real-time, facilitating seamless collaboration and enhancing decision-making capabilities.

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Key Benefits:

• Real-Time Data Synchronization: The integration ensures that your drilling teams have immediate access to accurate and up-to-date target line information.

• Comprehensive Visualization: The dynamic exchange between StarSteer and Well Seeker allows for a comprehensive visualization of well plans directly within the StarSteer platform.

This integration marks a significant step forward in streamlining your geosteering workflows, providing you with the tools to make more informed decisions and ultimately improve operational outcomes.

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The 2023 Geosteering World Cup brought geologists together from all over the world, in a way conferences and water coolers cannot... to compete to earn the title and become the Geosteering Champions of the World! We'd like to congratulate and honor this year's champions 🎉

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¡Hola desde Madrid! We want to express our gratitude to all who made AAPG Ice event a success!

It was truly a pleasure reconnecting with familiar faces, forging new connections, and showcasing our latest innovations to such an engaged audience. The live demos at our booth were a highlight, and we appreciate everyone who stopped by to experience our solutions in action.

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Until next time, muchas gracias for a wonderful time at AAPG Ice 2023! ¡Hasta pronto! 👋

The past week was a remarkable adventure at ADIPEC, filled with the thrill of making fresh connections, reconnecting with our clients, and exchanging priceless knowledge. A special shoutout to all those who graced us with their presence. Your visit enhanced our journey, and as we wrap up this chapter, we're fueled with the spirit of innovation and collaboration. Stay tuned for what's to come, as we strive to continually redefine the possibilities in the energy landscape! 

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Every year, the excitement surrounding ROGII's Geosteering World Cup continues to surge! We were thrilled to have over 300 registrations from around the globe, all aiming for the coveted GWC Championship title. After an intense competition, Phillip Szymcek emerged as the ultimate victor, proudly securing the Geosteering World Cup Champion title for 2023!

On behalf of the entire ROGII team, we extend our heartfelt gratitude to all participants who made this event a resounding success, along with our invaluable sponsors. A special shoutout to our Platinum Sponsors – GeoVision, Core Geologic, Edge Systems, and MOJO – for their unwavering support. Your dedication truly makes the Geosteering World Cup what it is today.

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We also want to extend our sincere thanks to our exceptional hosts: Adam Martin, co-hosts Robert Gilmore; our talented producer Michael Bodack; and our esteemed guest speakers, Trey Sessums, Kory Wiley, John Boswell, and Pavel Dorofeev.As we conclude this year's Geosteering World Cup, we look forward with great anticipation to seeing you all next year for an even more exciting and bigger competition!

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We'd like to extend a special Thank You to the ADNOC Group, and to all of the participants who attended our first-ever ROGII Tech in Abu Dhabi!

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The day was filled with extraordinary presentations on a variety of topics such as geosteering, geoscience, and drilling, as well as case studies on how ROGII improves workflows and is leading the industry by bringing operational efficiency to the next level.

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Looking forward to next year!

IMAGE23 ROCKED! Thanks to all who stopped by our booth, allowing us to prove how #ROGII continues to steer you to success. Whether you attended one of our scheduled talks or even caught a glimpse of #DrillSpot, we hope you learned a thing or two. Our team eagerly awaits next year!

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TGS and ROGII Inc Announce Strategic Partnership *

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HOUSTON, Texas (17 August 2023) – TGS, a global provider of energy data and intelligence, announced today a strategic partnership with ROGII Inc. to jointly provide an integrated solution that allows engineers and geologists to easily access TGS licensed well data within ROGII’s cloud-based platform, Solo Cloud. This will enable customers to quickly identify the right data for their geosteering and well planning workflows.

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ROGII Inc. focuses on creating a multi-disciplinary, collaborative environment through Solo Cloud, ensuring geoscientists, drillers, completions engineers and many more can work together in on one centralized dataset. Its intuitive interface, featuring automatic data loading and project synchronization, ensures rapid access to the latest information, minimizing complexity and enhancing productivity.

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TGS well data can be accessed within ROGII’s Data Manager application by enabling the TGS wells layer on the map to observe the diversity of the dataset. Logging into the user's respective TGS account provides seamless access to importing data directly into a project within their Solo Cloud account or examining it with the gun barrel plot feature.

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Jan Schoolmeesters, EVP of Digital Energy Solutions at TGS, said, "Our partnership with ROGII marks a significant step in enhancing the accessibility and usability of valuable well data for drilling engineers and development geologists. This collaboration aligns seamlessly with TGS's commitment to providing cutting-edge solutions that empower professionals to make smarter, more informed decisions."

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Julian Stahl, Vice President of Global Sales at ROGII, said, “We are excited to release this new partnership to our mutual end-users. TGS's extensive, curated well database powered by ROGII's automated, machine learning workflows will take well placement analytics to the next level. We constantly strive to reduce clicks for our users. This seamless, backend database integration will greatly reduce ETL workflows across the geoscience discipline."

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With the largest subsurface dataset in the energy industry, TGS uniquely combines unparalleled volumes of quality-controlled well data with proven geological expertise. For more information, visit TGS Well Data online at https://www.tgs.com/well-data-products.

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About TGS

TGS provides scientific data and intelligence to companies active in the energy sector. In addition to a global, extensive and diverse energy data library, TGS offers specialized services such as advanced processing and analytics alongside cloud-based data applications and solutions. For more information about our products and services and who we are, visit TGS.com.

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*Press release taken from official TGS website

https://www.tgs.com/press-releases/tgs-and-rogii-inc-announce-strategic-partnership?utm_content=260978339&utm_medium=social&utm_source=linkedin&hss_channel=lcp-220114

ROGII Tech Houston 2023 is now part of our history. A sincere thank you goes out to our technical presenters who played a pivotal role in making this year's event truly outstanding!

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Witnessing firsthand how our clients leverage our solutions to push boundaries through advanced analytical workflows, seamlessly integrating data and operational concepts within the drilling process, has been truly inspiring. We're grateful for the opportunity to collaborate and innovate together!

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Our Europe Managers Alexandra Zaputlyaeva, PhD and Joanna Hansford attended the 20th DEVEX Conference organized by Society of Petroleum Engineers International in Aberdeen. They presented ROGII's cloud solutions developed for enhancing well placement and optimizing reservoir performance through advanced data analytics, machine learning techniques and high technologies.

Alexandra Zaputlyaeva, PhD was also giving a presentation on the topic: "Geosteering Techniques Integration to optimize well placement. Case studies from the Norwegian Continental Shelf."

Greetings from the EAGE (European Association of Geoscientists and Engineers) Annual Conference in Vienna!

Our colleagues Alexandra Zaputlyaeva, PhD, Joanna Hansford, Romulo Cuevas Hernandez and Julian Stahl are waiting for you at the booth 306 to present our cloud solutions for optimizing and improving well placement.

Stop by to get more information on how our cloud solutions can revolutionize the drilling operations and take your well placement strategies to new heights!

Pan American Energy drills horizontally positioned well with high precision in the Vaca Muerta Formation

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Buenos Aires, Argentina (May 3rd, 2023) - Pan American Energy, the operator, has recently successfully completed the drilling of a horizontal well in the Lindero Atravesado area in Vaca Muerta.

The 3,050-meter lateral section well was landed and geosteered with exceptional precision within a very narrow interval within the Vaca Muerta Formation, utilizing only 3.2 vertical meters of thickness to position the entire horizontal section.

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The high-precision geosteering of this well was carried out by PAE's drilling and geology team in conjunction with ROGII Latina's well placement team.

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PAE utilizes specialized software combined with collaborative cloud-based technology developed by ROGII to enable 24/7 monitoring, real-time interpretation, and decision-making, supporting effective and timely communication among the specialist teams. In the geological context, the lateral section was drilled along an upward-dipping monocline, ranging from 2.1° to 4.7°, crossing lithology that varied from marls to clayey limestones. Detailed analysis shows that this well achieved 76.2% (over 2,300m) within a mere 1m thickness of the target.

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This project is considered a significant milestone due to the ability to meet the proposed objectives set by both drilling and geosciences. The precise placement of the well, while maintaining a high penetration rate (averaging 45m/hour) using a BHA equipped with RSS, allowed the drilling to be completed within the planned timeline.

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Because of Solo Cloud and AWS, our clients can work without the risk of losing their data. It is ourgoal at ROGII to provide our clients with state-of-the-art software solutions that they are happy with!

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Leo Furch¹, Williams Bernay¹, Adrián Rasgido², Guillermo Lopez Pezé²

1.- Rogii Latina;

2.- Pan American Energy.

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Yesterday's ROGII Tech event in Qatar, Doha was an absolute blast!

A big thank you to all who attended and contributed to an unforgettable event and huge congrats to the winners of a Geosteering Competition! 🤟🏻

Until next time!

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Geosteering training just got a lot hotter in Bakersfield, California - and we're not talking about the weather!

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‍California Resources Corporation knew they were in for a wild ride when these three studs rolled up in their red Dodge Challenger.

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Who knows what happened after hours? Let's just hope they remembered to buckle up and avoid any rocky situations - both on and off the road!

ROGII’s Canadian team had a delightful lunch yesterday at Brix & Barrel to commemorate the arrival of new team members and the growth of the Technical team. The occasion was made even more special with the presence of Rachel Grande from our Denver team and William Sessums III from our Houston team, who had traveled all the way to Calgary for team building and training. 2023 is the year of expansion.

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Our annual ROGII Tech tour continues!

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We are extremely happy to announce that the first event in Denver was a blast! We had a fantastic conference with some really great presentations from Ellen Wilcox, Kalen Smith, Teresa McCombs and the ROGII technical team.

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Great technical discussions, networking and a happy hour too!Huge congrats to Kajal Nair for winning the Geo-trivia and some Colorado Rockies tickets! 🧢 ⚾Thanks to all who attended!

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Shout-out to The Sooner State! Everything is OK in Oklahoma 😉

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The results from yesterday's ROGII Tech in Oklahoma City proved that contributions to collaboration are magnificent.

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Everyone who presented - rocked it! We hope everyone who attended had as much fun as we did and left feeling inspired and energized.

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This was just a taste of what is to come. A special ‘Thank You’ to our guest speakers Keith Cardon, Moe Alsaqi, & Trey Welch for your presentations! We couldn't have done it without you!

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The new ROGII Tech series has already started and we are very excited to say that the first event took place in Calgary, Canada!

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As our Canada General Manager Janelle Springer said:

"Calgary's Rogii Tech Day was a great success! Nearly 80 StarSteer enthusiasts spent the day sharing ideas, attending workshops and enjoying the happy hour afterwards. It was a blast seeing everyone and getting to catch up.

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We're already excited for next year's event!"Thanks to everyone who shared this day with us! Until next time!

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We are excited to share our experience from the recent conference EAGE Digital focused on digitalization in the energy industry.

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The conference provided an excellent platform for us to engage in stimulating discussions with industry leaders and experts on the latest technologies, state-of-the-art products, and innovative services that are transforming the energy industry.It was a great opportunity to connect with our partners and collaborators, as well as meet new professionals from industry and academia.

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We were impressed with the level of knowledge and expertise that attendees brought to the event, and we look forward to continued collaboration and knowledge sharing with them.

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Also, we want ot give a huge shout-out to our colleagues Alexandra Zaputlyaeva, PhD and Igor B Uvarov who presented our latest development achievements and gained new connections in the energy industry!

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MEOS GEO - Middle East Oil, Gas and Geosciences Show (MEOS GEO) was a great success!

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We are so grateful to be a part of such a large event and to exchange great knowledge on workflows in the cloud, geosteering strategies, and the most recent advances of ROGII in technologies and applications for geosciences.

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A big shout out to everyone who stopped by our booth, it was a pleasure seeing familiar faces, making new acquaintances and sharing with our audience our latest innovations! Not to mention our solid team represented by Elham Alnadabi, Kirill Ronzhin, Lamri Benmehdi and Dieter Krott.

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Great job guys! See you Bahrain! Until next time!

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Thanks to everyone who joined our official geology field trip: Winter Park on the Ski-Train!

We had a really great time combining business with pleasure!

See you next time!

It was a pleasure kicking off the Exhibition and Conference season last week at NAPE Expo LP!

Thank you to everyone who caught us on the floor as it was great catching up, connecting, and forming new relationships.

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We had a great time last week on a Technical Session in Malaysia held by the help of our partner - Integrated GGRE Asia Sdn Bhd!

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Thank you to all attendees for participating, and a huge shout out to our geosteering lead - Danil Nemushchenko for sharing his vast knowledge on steering wells!

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Looking forward to seeing you again!

Solo WITSML™ Store is now certified by Energistics against the requirements for WITSML™ v1.4.1.1!

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‍This certification benefits both our end-users and us as the WITSML™ server vendor. It adds enhanced interoperability between deployed solutions and helps streamline development using the Testing Tool provided by Energistics.

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Also, the expertise gained during the development of Solo WITSML™ Store has positively influenced StarSteer and Solo Feed products, making them even more seamless when it comes to WITSML™ streaming.

#CONEXPLO 2022 in Mendoza, Argentina was a great success!

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We are so grateful to be apart of such a large event and to exchange great knowledge on workflows in the cloud, geosteering strategies, and the most recent advances of ROGII in technologies and applications for geosciences.

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Our very own Rafael Aguilar and Angela Rodrigues had a great time, making new acquaintances,gainig new knowledge! 

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We hope to see you all again next year!

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We are proud and excited to introduce our latest update for Data Manager!

Users can now use the Gun Barrel tool and check out the updated user interface!

With Gun Barrel, you have a powerful well spacing visualization tool, and can display your wells in a 2D vertical cross-sectional view, as well as calculating distances on the fly using the handy ruler tool.

To learn more about Data Manager features or to get a trial, please reach out to your region’s account executive!

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We would like to especially congratulate AIRAT SABIROV our 2022 Middle East, Asia Geosteering World Champion.

From everyone at ROGII, thank you for participating and we hope you enjoy your drone!

Great days we had in Stavanger, Norway at the 2nd Geosteering & Formation Evaluation Workshop by NFES and NORSE.

It was a pleasure presenting different case studies using our very own Resisitivity Module. Danil Nemushchenko did a fantastic job presenting in front of almost 100 people!

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Houston, Texas (November 5, 2022)

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A large operator in Houston deployed ROGII’s Solo Cloud three years ago in one of their many asset teams to evaluate collaborative, cloud-based workflows for their geologic operations team. Solo Cloud is hosted on Amazon Web Services with complete disaster recovery and business continuity protocols audited annually by the accredited SOC 2 Type 2 certification process.

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Changing existing workflows in large operators, especially for real-time operations where any mistake can cost millions, is always a difficult task. However, the operator realized that their existing workflows,communication and data storage mechanisms had reached the limits and had great potential to be optimized through evolving cloud solutions and technology. Their introduction of Solo Cloud was largely focused on streamlining communication and data flow.

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Prior to deploying Solo Cloud, typical communication mechanisms revolved around emails, PDFs, Microsoft Teams Messaging, WhatsApp,SMS and more. These channels of communication came into existence organicall yover many years. With increasing rigs, the operator realized that bits and pieces of information were scattered across multiple platforms that were not queryable, secure, archivable and ultimately not centrally manageable.  

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While drilling, real-time data was being streamed from the rig into cloud based WITSML servers to be distributed to the various end user sat the operator office. However, the data ended up in individual projects stored locally on the operator’s disk space. Multiple rigs could be within the same square mile and yet, data still was siloed into individual projects on users’ computer.

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The operator realized the potential in centralizing all data in one cloud location, enabling true, real-time collaborative interpretation workflows with mobile and web apps for seamless communication with all stakeholders.

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After implementing Solo Cloud, real-time WITSML data was streamed directly into Solo Cloud’s series of databases (PostgreSQL, S3,ClickHouse and more). The data is instantly available to multiple operations geologist and drillers with advanced conflict resolution if a single dataset is edited simultaneously by multiple users. This collaborative environment drastically cut down on manual PDF reports, long phone calls and messaging threads. Communication was centralized through ROGII’s native cloud apps.Geologist, drillers, service companies, and managers were all able to view the same dataset from their computer, web browser, or native phone app ensuring that hazards are avoided in a timely manner.

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Since the implementation in the single asset, the operator now has standardized all their assets’ drilling operation workflows in Solo Cloud. The data is centrally managed with full decision and change logs readilyavailable. Furthermore, the operator has direct access to their large volume ofdata in 3^rd party analytical solutions like Spotfire and PowerBI for customized analytics through API and PythonSDK connections.

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StarSteer 2022.2 includes a new seismic module with the ability to upload data in SEG-Y format via Solo Cloud.

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• Users can now load 3D,depth-converted seismic volumes into Solo Cloud for display in Starsteer

• Drag’n’Drop toload large SEGY files with ease

• Seismic data is compressed to workseamlessly on the cloud with OpenVDSLibrary

• Seismic slices are projected usingthe same functionality as grids:

- along well trajectory

- along VS azimuth plane

- both VS and THL scale

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Each user can now use seismic and build geosteering models within one software package that can:

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1.   Eliminate the need to use multiple software programs for processing heterogeneous information

2.   Assess lithology and the nature of reservoir dips concurrent with geosteering the well

3.   Expedite the decision-making process for adjusting the direction while drilling wells

Today marked the day at ADIPEC Exhibition and Conference!

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A big shout out to everyone who stopped by our booth as we could feel the excitement in the air by the nonstop activity!

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It was a pleasure seeing familiar faces, making new acquaintances and sharing with our audience our latest innovations.

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Until next time!

We had a great time at Society of Petrophysicists and Well Log Analysts (SPWLA)'s Golf Tournament! New acquaintances, impressions and a great communication! 

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Thanks to those that stopped by ROGII's tent and Beer-mobile!

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We had a blasts seeing some new and familiar faces!

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Dallas, Texas (October 28^th, 2022)

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A Dallas,TX-based operator is deploying ROGII technology hosted on Amazon Web Services’ (AWS) cloud service.  Using several SoloCloud-connected applications, the operator can simultaneously stream live data in from many geographically remote field locations, view and interpret the data, broadcast project updates onto mobile devices in real time, and make available the data to other company domains for further analysis as well as other internal software applications.  All the while, the data stays 2-way encrypted while in transit and redundancy is minimalized.

At the rig site while drilling, live surface and downhole data is collected and aggregated via ROGII’s Solo Box service.  With Solo Box, the operator creates formatting schemas that execute automatically when new data is received.  This ensures that only clean, formatted, and quality checked wellsite data reaches ROGII’s WTSML Server hosted on AWS, which maintains a 99.998% uptime reliability. The clean data is then streamed from the WITSML Server to the operator’s AWS-hosted Solo Cloud database account via the Solo Feed connector.  Solo Cloud will then update various projects across several applications, and govern access based off an individual user’s assigned permissions.

The operator uses several licenses of ROGII’s StarSteer, a locally installed geosteering application, to interpret their data and confirm ideal well placement.  For contingency and business continuity, they maintain one SaaS StarSteer license, utilizing an AWS Virtual Machine.  Any updates to projects by any one of the authorized StarSteer users are automatically pushed up to Solo Cloud and communicated to all other users in real-time, ensuring that there is only one version of the project and no data redundancies.  While the operator maintains a central real-time operating center, they also augment their staff with 3^rd-party consultants.  Through a series of permission controls, they authorize the consultants to operate a small project subset without needing to grant access to the entire project, while still being able to maintain real-time oversight.

For internal communications outside of the technical staff,the operator utilizes ROGII’s StarLite iOS mobile application to broadcast geosteering interpretation updates to field personnel as well as to various managerial levels.  StarLite connectsusers to Solo Cloud and provides a complete view of a StarSteer project.  From their mobile devices, StarLite usersaccess real-time geosteering performance statistics in lieu of static PDF reports.  

The operator also maintains a team dedicated to drilling optimization and has developed an in-house, proprietary application to achieve their goals.  To incorporate the geological and geophysical data into their optimization models, the operator has chosen to integrate ROGII’s Solo API into their in-house application, which allows them to tap into their Solo Cloud database and stream pertinent data into their application for further analysis.

Starting as raw measurement data point on location, datamakes its return to the rig as an actionable drilling optimization solution for the operator.  A network of various ROGII hardware, software and cloud products, all connected on AWS, make the workflow possible.  

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Please take a moment to congratulate our Latin America regional Geosteering World Cup 2022 winner, Jesús Ezequiel Silva. 🏆️

We had one of ROGII's very own, Franco Serio hand deliver the prize to Jesus!Thank you for competing!

We hope to see you next year 💥‍

Denver, Colorado (October 21^st, 2022)

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SoloCloud services, hosted on AWS, have been an absolute game changer when it comes to efficiency in our workflows and collaboration within our organization. Just like most Oil and Gas operators, we have put a high priority toward data integration across domains and better well economics through efficiency. We have seen tangible results toward these goals by implementing ROGII’s Solo Cloud service from beginning to end.

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While geologists are the primary data source for information in the cloud, high resolution drilling data and is an integral part of a successful geosteering effort. The geologists work with the drilling engineersto stay as close as possible to the well plan while also staying in the highestquality rock. This collaboration is made much easier with the use of cloudtechnology. Geologists and engineers are accessing the same data in real timeand can make split second decisions that would otherwise take hours or daysusing traditional workflows.

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Additionally, a horizontal oil well in unconventional reservoirs is typically not “finished” until it is hydraulically fractured. Hydraulic fracture designs can be optimized with the input of geological data. The geological interpretations stored in the cloud can be easily leveraged by the completions engineer to improve the designs and, ultimately, make a better well. Again, in the past the geological data was either inaccessible or too difficultto use. Now, we can make wells that produce more oil for a longer period. As a business, these improvements have made a significant positive impact on our bottom line. The investment in Solo Cloud technology has been a huge success.  

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Houston, Texas (October 20^th, 2022).

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ROGII has an innate ability to identify tomorrow’s problems and address them today. Before the oil and gas industry identified the need to increase collaboration, ROGII was working on a solution that would break down the walls and change the game for operators. It didn’t take long for clients, like Paloma Resources, LLC, to grasp the value of SoloCloud (powered by AWS) and deploy it for their drilling operations.

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Harrison Ohls,Geologist at Paloma Resources, LLC states “ROGII’s Solo Cloud has been incredibly helpful for our operations geology team. Before Solo Cloud, our team had to spend time sending data and projects back and forth between users, which required many steps to format and compress the data properly. With Solo, we now have easy access to a single project in the cloud. The flow of data between all geologists working on a project is seamless and instantaneous, allowing for different users to compare their ideas and interpretations with others.”

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Harrison touches on another very important aspect of Solo Cloud aside from collaboration and that is the data being stored in a single database. Not only is Solo Cloud breaking down the walls for colleagues to collaborate, but their data is now integrated as well. This opens the door far beyond the immediate task at hand by allowing corporations to look at all of the data together to identify trends they may not have identified before.

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Harrison continues, “SoloCloud has been helpful in unexpected areas as well. For example, our IT group needs to make constant adjustments and upgrades to our office computer network,which requires a network shutdown. In the past, because our StarSteer project was stored on that network, we would have to coordinate IT’s maintenance withour operations. This downtime was inefficient and could potentially contribute to an issue with drilling. Now that everything is on the cloud with AWS, this is no longer an issue.”

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Based in Houston, TX,Paloma Resources is not new to hurricanes or flooding. “This inclement weather can cause power outages at our offices and shut down our network. Before ourdata was on the cloud, we were always at risk of losing our data access during these storms; if this happened while drilling a well, it could be disastrous. It’s one extra reason why we are glad we made the switch to Solo,” continues Harrison.

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Because of Solo Cloud and AWS, our clients can work without the risk of losing their data. It is ourgoal at ROGII to provide our clients with state-of-the-art software solutions that they are happy with. “We couldn’t be happier with our upgrade to StarSteer and Solo Cloud and suggest that anyone debating about making the switch to go ahead and make the plunge. It’s worth it,” confirms Harrison.

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We are happy to announce our collaboration with PetroNinja! Public data base integration with Petro Ninja now live on Solo Cloud!

Seamlessly upload well data directly into your Solo organization and access it right away!

What you can do?

• Visualize all public data on one map;
• Examine more data of your well (wellbore ID, Surface location etc..);
• Check well status;
• Add any well to your Solo project
• Visualize well trajectory on your StarLite view!

Reach out to your regional Account Executives to learn more!

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HOUSTON, TX (September 28^th,2022)

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Every year, ROGII conducts a global geosteering competition called the Geosteering World Cup, where experts in the field of geosteering compete to be the best in the world and be crowned the champion. In this competition, all participants drill their own well through a pre-defined 3-dimensional geologic model, receiving simulated data in real-time at consistent increments. Using the data, they interpret the wellbore position and predict where it should bein order to drill the best possible well. With participants from over 20 countries,the only way to ensure that this competition runs without any issues is to use our Solo Cloud solution hosted on AWS.

This year ROGII‘s 4^th Annual Geosteering World Cup  was the biggest event to date. The competition consisted of over 200 participants and 1 machine learning robot. During the event, there were roughly 10,000 changes made to the cloud every minute, with a processing time of about 0.2 seconds per change. Participants drilled approximately 800 simulated wells in 1.5 hours, which is equivalent to 2 weeks of drilling by all United States operators. To put this on a footagescale, that is about 4 million lateral feet drilled.  At the end of the event, analytics provided by AWS was used to identify the champion based on the function of in-zone percentage and high ROP. Though not the winner,  ROGII’s robot placed 26^th place,which is a big leap for machine learning.

The data from the competition is publicly available for data analytics/machine learning tasks because it is stored on Solo Cloud. Not only is this competition a great opportunity for high-load testing and a way to test and improve automation through machine learning, it is a great to way bring people together. ROGII’s goal is to bring data and people together to continue to strive for excellence. SoloCloud, powered by AWS, makes this possible.

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Shout out to our rocky friends in Denver that attended ROGII's Mile High Lunch n' Learn with Jason Edwards, MSc. and Othman Elhelou!

Learned more about StarSteer, had a blasts and enjoyed some great company. Thanks for coming!

Stay tuned for upcoming events!

Our main geosteering event of the year is over! GWC has its new World Cup Winner,Karma Doescher from MCWL Paladin Geological! We are so honored a woman is taking the GWC title of Champion this year! As our competition continues to evolve and grow, we are forever thankful for people like you that make this event a huge success.

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This year, we had over 200 participants steering for the Geosteering World Cup championship! From everyone at ROGII, we would like to personally thank those that participated in the GWC this year!

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We hope you all had as much fun as we did producing it. Special thanks to our very own Michael Bodack for producing our livestream with Keith Rivera and Stephen Frazier! We would also like to thank our Platinum sponsors GeoVision, Core Geologic, Edge Systems, Terra Guidance, LLC and our Silver sponsors MCWL Paladin Geological and Belloy Geologists!

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We'll see y'all next year, for a bigger and better competition! ⭐️💥🏁🎊

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This year we have attended the local Norweigian Society of Petrophysicists and Well Log Analysts (SPWLA) chapter in Stravanger with our Geosteering Lead and Technical Analyst Danil Nemushchenko!

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The Society of Petrophysicists and Well Log Analysts (SPWLA) is a nonprofit corporation dedicated to the advancement of the science of petrophysics and formation evaluation, through well logging and other formation evaluation techniques and to the application of these techniques to the exploitation of gas, oil and other minerals.

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Founded in 1959, SPWLA provides information services to scientists in the petroleum and mineral industries, serves as a voice of shared interests in our profession, plays a major role in strengthening petrophysical education, and strives to increase the awareness of the role petrophysics has in the Oil and Gas Industry and the scientific community.

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Thanks for all that attended!

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We have some exciting news!!

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ROGII is proud to announce seismic data visualization feature on StarSteer and SoloCloud!

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With Bluware OpenVDS+ users have fast access to 3D seismic volumes on the cloud using Bluware’s efficient datacompression technology. Users have access to both #geomodels and seismic cubes while #geosteering within a few seconds using just a laptop!

This week we had a great time at IMAGE Conference 2022 - The International Meeting for Applied Geoscience & Energy!

This year we gained new contacts, met in-person with our existing clients, attended and hosted techmical presentations, had lots of fun and more! 

Here are some of our lucky winners from corn hole toss & drawing for SONOS speakers!

Thanks IMAGE!

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That's a wrap for Houston's Brewston tour with Stratagraph, Inc.Stratagraph Geosteering!

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We had so much fun and want to thank those that came. We hope to see you at the next one!

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StarSteer 2022.2 is now available!

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This release is jam-packed with long-awaited requested features, including:

• Integration and display of 3D seismic volumes
• Integration of thickness change in pseudo typewell creation
• Custom color fill palettes for logs and horizons
• Multi-well import from a single spreadsheet
• Average dip display for multiple interpreted segments
• Starred tops and horizons (top, bottom, and center target designations)
• 1X vertical exaggeration striplog
• Updates to the custom geosteering report generator
• PetroNinja integration into our Data Manager

Be sure to tune into our webinar THIS THURSDAY (August 25th) for a detailed demonstration of all the new features found in the 2022.2 release.  

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You can register here: https://lnkd.in/ggyPitBy

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‍As always, updated installers and full release notes are available on our Knowledge Base here: https://lnkd.in/eqy-uKV

Thank you everybody for joining our informational webinar with Keith Rivera and Jeff Kriz, P.Geo!

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For all our GWC 2022 participants we decided to tell more about the event, give some good tips on how to become A GEOSTEERING WORLD CHAMPION!

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There is almost a MONTH left till the World Cup, so don't miss a chance to register if you have not by following the link - register here

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If you have missed the webinar, here it is!

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And that's a wrap Denver!

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We're so happy to hosts these events and bring the community together.

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To those that attended our AAPG Happy Hour with Terra Guidance, LLC, thank you for coming! Special shoutout to our very own Jason Edwards, MSc. and Othman Elhelou!

Did you know that the ROGII Technical Support team is a team of professional geologists?

Every Tech Support team member you face by phone or video call can answer all of your questions in detail using their knowledge of geosteering, well placement, logs and much more.

Working hard to answer our clients’ questions, they are also making sure the internal Knowledge Base is up to date and has all the answers to your potential questions.

Our clients love the Knowledge Base because it helps them to easily navigate through our tools and workflows!

That’s a wrap, y’all!

We hope you had a blast at Unconventional Resources Technology Conference (URTeC) ’22 and picked up some cool ROGII swag!

It was a great time to meet our existing clients and seeing new faces, but most importantly, we were able to collaborate and share our knowledge of the latest innovations in ROGII’s geosteering software.

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Stavanger, Norway!

The third day of the Society of Petrophysicists and Well Log Analysts (SPWLA) Annual Symposium is over!

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Thank you Danil Nemushchenko for presenting our paper on the Vendor-Independent Stochastic Inversion Models of Azimuthal Resistivity LWD Data from the North Sea.

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We look forward to seeing you all and are excited to share our knowledge with you!If you haven’t registered yet, please reach out to Alexandra Zaputlyaeva, PhD, we have couple of free passes for the exhibition!

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The third day of the 83rd EAGE (European Association of Geoscientists and Engineers)Annual Conference in Madrid is over!

We hope you had a chance to meet ROGII team and learned how to increase team #collaboration during Real-Time Operations with Tiffani Kennedy!

Come visit ROGII at booth 735.

We look forward to seeing you all and are excited to share our knowledge with you!If you haven’t registered yet, please click here: https://lnkd.in/daWTn8ji

It feels great to be back!

GeoConvention welcomed us with open arms, we’re so grateful to have met new and familiar faces!

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We had such gratitude doing our technical talks, product demos, giveaways, and networking with everyone over the span of 3 busy days!

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Thank you GeoConvention Partnership and ROGII Canada for the great presentations and hard work!

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Please feel free to request for product demos or more information!

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ROGII Latin America is finally back in the office with our clients again for training!

This time we are with PAE Exploration's team preparing for their upcoming Mexican Offshore Projects.

Don't miss TODAY's Webinar: New Release Features StarSteer 2022.1!

When: May 19, 2022 at 2:30pm CST

Please register by clicking here: https://lnkd.in/e3ZgnmEFA new #StarSteer release, a New Features webinar!

StarSteer 2022.1 was released early May, and Jeff Kriz, P.Geo and Keith Rivera will show you some of the hot new features to ensure you are getting the most out of StarSteer!

Some of the features he will cover include:

- Improvements to #grid imports, reporting, comment boxes and well workspaces

- Well header importing- #Typewell headers

- #WITSML#Mudlogs

‍See you soon!

Thank you GEOLOG International for hosting a great charity golf tournament in Houston.

Regardless the hot temperature everyone had a lot of fun and stayed hydrated with cold beverages provided by Core Geologic and ROGII!

ROGII is pleased to be celebrating 2 years partnership with Petrosys building a successful and collaborative relationship that has delivered software into the hands of our customers, adding significant value to exploration and development campaigns in conventional and unconventional projects. To mark this occasion, we are happy to announce that Petrosys will continue to partner with ROGII and be the exclusive distributor of StarSteer™ and SOLO™ solutions in the Pacific region.

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Stephen Clark is rocking it at today’s ROGII U Training Day teaching his Intermediate Course to help existing and future StartSteer users to move beyond the basics learning the Intermediate Workflows in StarSteer!

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The ROGII Team had a great second day at International Petroleum Technology Conference (IPTC)! Lots of interest in the latest and greatest resistivity inversion in StarSteer and data aggregation with Solo Box!

ROGII came as not only exhibitors, but also had the opportunity to host a geosteering workshop during education week! Roughly 100 students from top universities around the world participated in the geosteering competition using our software StarSteer and Solo!

We spy with our little eye, an orange box! Our ROGII Team Ryan Schmitt, Mike Wood, Tiffani Kennedy, Keith Rivera, and Jason Edwards, MSc. will be at NAPE Expo LP today for Day 2! We hope to see those attending today!

To kick off 2022, we have a new feature release for StarSteer!!!

We've heard your feed back, and will continue to improve! New Features:

• Customizable Reports
• TVT Scale in Correlation Panel
• Objecy Selection in Map View
• Well Workspaces
• Resistivity on Solo

and more!!!

With the challenging geology of oil sands, the well-to-well correlation is not straightforward. Not to mention that the horizontal wells need to be placed as close to the OWC as possible for the best SAGD production.

Using deep azimuthal resistivity tools with plotting logs and without running the inversion is just a qualitative interpretation. Now in StarSteer, it is possible to run stochastic inversion that gives a clue on the proximity of OWC and shaley interbeds.

This inversion is calculated on 5 available curves from the ADR tool.

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What a great way to start December! We had so much fun at our Holiday Party, and hope those that attended did too! It feels good to be able to network in-person again!

We would also like to thank those who brought a toy to support our friends Targeted GeoVision, LLC & DATALOG Geological Services, LLC!

See y'all next year!

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Last week, Rafael Aguilar attended and spoke at Congreso Mexicano del Petróleo about the benefits of ROGII's digital transformation technology to leverage geosteering operations.

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Specifically the importance of the cloud based technology to help teams maintain high performance Geosteering.

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Bringing people together. Powered by SoloCloud.

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We have new StarSteer videos on our Youtube Channel! We will be uploading one a day, covering all range of workflows in StarSteer, from setting up your project, to accessing and using our Python scripts.

Subscribe and hit the Notification Bell if you'd like to be notified when a new video gets uploaded. We hope the videos are helpful to your everyday work in StarSteer!

Click Here to keep up on all the StarSteer Workflows

Following up on the new 2021.2 StarSteer release, we have an exciting new feature in StarLite we call Rewind. Rewind Mode lets you look back on your well's geosteering history to better understand how those important geosteering decisions were made.

To view the history, click the Rewind button and click play to run the movie, or choose a specific date and time along the timeline to look at a snapshot of your well. Your selected revision time, or snapshot, corresponds to what shows up in your object tree, cross-section view, and what logs existed in your horizontal and vertical tracks, at a specific point in time.

Other new features in StarLite and Solo include:

• Pdf Report generation with the click of a button while in Rewind Mode
• Zone Statistics header in the x-section window. Hover your mouse over the top-right corner of the cross-section window and click the button to expand the header. In Custom View, specify your Target Line and Horizon data from the dropdown menus.
• Faster Solo project loading times
• Improved Solo security
• And more!

We've been working on so many new features this summer and we are happy to finally release them with StarSteer 2021.2.All the main StarSteer modules have major updates.

New for this fall release:

Curtain Section (THL): For when the well drastically changes its azimuth. The trajectory is unwrapped as a curtain so that there is no negative section.

Auto-Tops Correlation

Stochastic Multi-Layer Resistivity Inversion

Bulk Las files import

Object Tree search

Opening a Solo project with another user's profile

Create Sidetrack script


And a ton of other great features!

Check out the full release notes for an in-depth description of all the new features being released this fall with StarSteer 2021.2!

Within the StarSteer resistivity module, users have a powerful tool to create beautiful stochastic resistivity inversions that have traditionally been an expensive and rare service. At the SPWLA 62nd Symposium we presented how you, as an operator or independent service provider, can standardize all your deep azimuthal resistivity inversions.

This article is now available on OnePetro. Take a look!

Click Here to be taken to the article

We are proud to announce the release of Solo Connect 3.0!

Your ability to bulk export data from Solo Cloud projects for advanced analytics has been significantly enhanced with the ability to process data in multiple tables: Interpretations, Tops (actual and prog), Target Lines, and Well Trajectories. Combined with Solo Cloud's new ability to "Star" objects as preferred, setting up your data processing profile is now even easier!

Please join us for a ~30 min webinar on Monday, May 3rd for a brief demonstration and Q/A! Registration link below:

Register Here

StarSteer 2021.1 is now available! This release is full of several highly requested features, including:

1. Comments tied to a specific MD
2. The ability to edit your target line in Map View
3. Import of 3D Geomodels
4. Correlation of gamma wraps in Assisted Geosteering
5. Log color fills in the Correlation Panel


And much more!

ROGII is proud to be at the forefront of real-time drilling operations and cloud data management for the Oil and Gas industry, worldwide. Our team is constantly imagining, innovating, and looking to the future. Enjoy our newest video!

ADNOC, one of the leading global oil and gas companies, is constantly searching for excellence in technology, cost efficiency, and innovations.

We are proud and honored to become ADNOC's provider of best-in-class StarSteer real-time geosteering software, powered by Stratohm technology of resistivity based proactive well placement!

Thank you, ADNOC, for trusting us with this important part of your business!

StarSteer 2020.4 is available today! This release is full of several highly requested features, including:

1. Starred Objects
2. Multiple log export as a single .las file
3. Additional well planning capabilities
4. Addition of Periscope HD, ADR and BoundaryTracker resistivity tools
5. Ability to remove data from Virtual Solo Projects
6. Updated Pre-job modeling Python script
7. Mudlog visualization in Correlation Panel

Be sure to join us Thursday, January 21, 2021, where we'll be going over all the latest and greatest from the 2020.4 release.

So bookmark your calendars and register as this webinar is jam-packed with new features!

Register for this month's webinar here

Part 4: Applying Predictive Models to Enhance Decision Making
By Andrei Popescu, 4Cast Product Owner

Welcome back to the 4th and final edition of this series on data analytics as a key to the future success of the Energy sector. It’s been a little longer so far than I thought when I initially set out to write these articles, but in truth, we have barely scratched the surface of this deep and complex topic. If you haven’t already, I’d invite you to check out the previous 3 sections:

Part 1: What is Predictive Analytics

Part 2: Data Mining and EDA

Part 3: Data Modelling

Just to recap quickly, we discussed predictive analytics broadly as a variety of statistical techniques that help us to analyze current and historical facts in order to make predictions about future events. We then outlined the data set we had to work with and some specific steps which we would tackle to increase our understanding of the drivers behind production:

1. Define the target variable that we want to predict which can help inform our strategic decisions - in this case, our target will be Length Normalized 12-month Production
   
   
2. Compile and visualize the available data in a consistent format, and one that can be directly compared to our target - since 12-month Production is measured at the Well level, our data should also be organized and reported at the Well level
   
   
3. Identify existing trends/patterns within our data, and define dependent relationships
   
   
4. Select and preprocess input variables - these input variables should be quantities that can be known with a high degree of confidence prior to drilling new wells
   
   
5. Build, test, and refine data models until we have one which can accurately predict historic results based on the defined input variables
   
   
6. Simulate a large number of potential future development options, and use the data model to predict the results
   
   
7. Identify the simulated option which is predicted to achieve the optimal result
   
   

Last week we took care of Steps 4 and 5, and we trained both a Random Forest and a Multiple Linear Regression model to predict length normalized 12-month production using the following variables as inputs:

Feature Variables: Proppant Concentration, Fluid Concentration, Stage Spacing, Total Number of Stages, and Average Porosity

So where do we go from here? We now have a model that can predict our future results with a reasonable amount of confidence, so how do we best utilize this model in our future decision making? We could of course manually run a handful of different potential development scenarios through our model, and see how they are expected to perform. If the scope of our future development is fairly limited, this may prove to be good enough, as it allows us to run each specific scenario and see which of them is predicted to achieve the best results. What happens, however, if the question we are faced with is much broader? What if we need to recommend the location and design for the most cost-effective wells to Management as opposed to choosing between a few different pre-planned options?

In this case, there is a myriad of different possibilities we would want to consider in order to ensure that we provide a robust and rigorously evaluated recommendation. As you can imagine, even with the help of our predictive model, manually designing and testing each individual scenario would be incredibly time-consuming, and would undoubtedly leave a large number of potential options on the table un-tested.

Fortunately, 4Cast can come to our rescue once again in this situation. We have at our disposal a tool that allows us to simulate an immense number of different scenarios (upwards of 2 million) very quickly and easily. What this means, is that we can model the results of millions of potential scenarios in a matter of minutes, and then spend our time where it really matters - identifying which of those scenarios is most optimal based on the known constraints of our upcoming development cycle.

Before we move along in our workflow and use 4Cast to simulate our potential future development, let’s discuss the theory behind this algorithm a bit. I want to be perfectly clear that we aren’t going to be generating random or arbitrary well parameters to run through our model as this wouldn’t be effective or useful. There are 2 main reasons that we can’t employ a simple randomization algorithm to generate our simulated scenarios:

• Our model would be ineffective at generating predictions using random inputs since the inputs would deviate wildly from the data we used to train our model.
  
  
• The simulated scenarios wouldn’t be at all realistic, so evaluating these possibilities is a waste of our time. For example, if we simulated potential well parameters using strict randomization, we could easily end up with the following inputs:
• 0.1 Tonnes/m proppant
• 1.5 Tonnes of proppant/m3 fluid
• 200m Stage spacing
• 85 Stages
• 3% porosity
  
  
• This scenario is complete nonsense. All other variables aside, if we look just at 85 Stages with 200m Stage spacing that comes out to a 17,000m Well!

To make the best use of both our model and our time, what we want to do is evaluate scenarios that are both realistic (i.e. we could actually see ourselves drilling them), and exist reasonably within the bounds of our training data. Don’t get me wrong, we definitely want our simulated scenarios to deviate from what we’ve already done, otherwise why simulate new development in the first place? But we want to make sure that the range of scenarios we generate is at least somewhat within the range of our training data. After all, how can we expect our model to be accurate if the inputs we present it with are completely unprecedented for it? We created a machine learning model, not a self-aware AI :)

The best way to illustrate how 4Cast can help us achieve this is to simulate a small number of development scenarios first, say 150 of them, and compare those to our existing Wells (see below). The inputs for this function are all of our historic data points (same data we used to train the model), and the output is a set of feature variables (proppant concentration, fluid concentration, stage spacing, # of stages, porosity) for 150 potential future Wells. Below are a series of scatter plots showing the relationships of those variables within our historic data, and those same relationships in our simulated data.

Fig. 1 - Scatter plots comparing the total # of stages (x-axis) vs. proppant concentration (y-axis). The top plot shows the trend for our existing development (wells in our project area), while the bottom plot shows the data we simulated using the multivariate interpolation algorithm in 4Cast. Notice that the overall trend from our real data is preserved in the simulated data, but we have many more points which fill in the gaps of our actual data.

As we can see from the plots above, the multivariate interpolation algorithm does an excellent job of preserving trends that are underlying within our existing data, while also filling in the gaps in our data set which will help us produce a wider and more useful range of predictions. If we plot the remaining variable pairs in a similar fashion, we will continue to see this same pattern where we get clusters of simulated data that have similar parameters to our existing ones but differ just enough to give us a full range of realistic development possibilities. This is an incredibly powerful tool as it allows us to hypothetically execute any “design tweaks” we are thinking of applying, and see what the result of those changes is predicted to be by utilizing our predictive model. As we first discussed way back in the very first part of this article series: if we have a reasonable expectation of what the impact of our proposed design changes will be, we can make better and more informed decisions with respect to what design changes we actually want to commit capital to and execute.

So now that we have this incredible tool at our disposal, we have the freedom of simulating and evaluating virtually limitless different development options in order to identify which one(s) are optimal. For this evaluation, I’ll use the multivariate interpolation algorithm to simulate one million potential new Wells. When I say that we’re “simulating new Wells”, we are of course simulating new sets of Feature variables. Once we employ this algorithm, we will have one million new unique sets of: Total Number of Stages, Stage Spacing, Proppant Concentration, Fluid Concentration, and Average Porosity. If we had built our model to consider different inputs when generating predictions, we would of course want to generate those inputs instead.

We can now take these unique data points and run them through the predictive model we built in last week’s article. This will give us a broad range of possible outcomes to weigh against each other. As you can imagine, with 1MM different scenarios and outcomes, evaluation can be a bit tricky. Fortunately, 4Cast has us covered once again! We can use a heat map to help consolidate all of the information we have into a form that is more manageable and useful to us in terms of making decisions. One of the strengths of the heat map is that it allows us to compare the variables over which we have control against each other, while simultaneously setting constraints for the variables which we do not have direct control over. In our case, we actually have control over most of our input variables (proppant/fluid concentration, stage spacing, # of stages), with the porosity being the only constraint that we can’t directly influence. Let’s say in our potential development areas, the porosity ranges from ~2.5% - 4%, and we want to evaluate what the best options are for setting our other parameters up to maximize length normalized production while minimizing cost. Below we can see the optimal design for maximizing length normalized production is predicted to have 55 stages, 0 tonnes/m proppant concentration, 0.2 tonnes/m^3 fluid concentration, 54 meter long stages, and should be drilled in 4% porosity:

Fig. 2 Heat Map showing results of one million different predictions from our Random Forest model. Each bin’s color represents the length of normalized production. In this case, the x-axis shows the total number of stages and the y-axis shows proppant concentration. The Filters on the right can be used to set up any constraints that are present in the other variables (in this case, we are seeing only results based on the porosity of 2.5% to 4%). Hovering over any of the bins shows the average parameters of wells that fall into that range of normalized production.

The Heat Map in 4Cast allows us to swap between the various input variables we have defined our model to use on the X and Y axes, while also actively filtering the remaining variables based on any other constraints that may exist with regards to our development. If, for example, we wanted to investigate optimal ratios of proppant loading per meter with fluid concentration, we can simply change the axes of the map display and see how these parameters look when cross plotted.

Fig. 3 - Same plot as above but looking at a fluid concentration (x-axis) vs. proppant concentration (y-axis). The highest production per meter is predicted with a proppant concentration of 0 tonnes/m and a fluid concentration of 0 tonnes/m3 of fluid. 

So there you have it, we’ve gone through and executed each of the steps we outlined back in week 1. I assure you that while this article series was prepared and published over the course of a month, the process itself was relatively quick and streamlined by utilizing the power of Solo and 4Cast. Depending on the initial data set you have available, an analysis like this could be reasonably carried out in a matter of days or even hours! I realize that this analysis wasn’t by any means exhaustive, and realistically there are many more variables and inputs we would likely want to consider, however, the concepts we discussed and the steps we carried out are more or less the same even with a more complex and varied data set. Off the top of my head, here some additional inputs which would likely be very useful to include in our analysis if we had access to them, and may warrant further investigation:

• Geomechanical parameters and/or geophysical attributes for better reservoir characterization
  
  
• Regional pressure trends
  
  
• Observed drilling characteristics (mechanical specific energy, etc.)
  
  
• Completion method (plug and perf vs. sliding sleeves, cluster design, etc.)
  
  
• Observed frac hits/production interference
  
  
• Cost data to help better identify optimal ROI (optimizing for the net return instead of production)

The list could go on for pages from here as there are so many different variables that can affect the outcome of our Wells. The idea is that by utilizing the approach and methods described in this article series, we can start to compare these various parameters (across disciplines) against each other and start to identify and rank order the relative importance of each. By doing this, we will not only gain a better understanding of our reservoir in a broad sense, but we will also be able to employ more methodical strategies to “engineering” our completion design in order to achieve the most optimal results. 

I’ll end the article series here for now, with the caveat mentioned above: there are certainly many more variables at play which we could consider and use to provide a more in-depth and robust analysis. Please feel free to reach out to me directly or leave some comments below if you’d like to continue the discussion! If any of what we’ve discussed has been of interest to you and you’d like to learn more about 4Cast and how you and your Team can apply it to your own data, please contact us at northamerica@rogii.com to set up a demo and free trial. Thanks again for joining me throughout this series!

It's official, the 2020 Geosteering World Cup is in the books! Coming out of the semi-finals it was apparent that Anton Zyabkin was a name to watch as he paced the field with an average success score a full 3 points above his closest rival.

By the time the dust settled on the sand-rich final wellbores of the competition, we found that Anton’s consistency across all wells in the competition left him hoisting the 2020 Geosteering World Cup with a total score of 141.8. South America’s own Andrea Infante’s remarkable run in the second round of the final boosted her all the way to a global #2 ranking and a Latin American Regional Championship with a score of 126.1. Houston’s Pat Tobin took home the North American Championship and a global #3 ranking based on his total score of 118.2. And Australia’s Robin Viljoen rounded out our group of regional champions with a score of 115.2.

Congratulations to our World Cup and Regional Champions and thank you to everyone who participated. You will be sent your certificate, along with global and regional rankings, in the next several days.

Top 10 Global Ranking:

1. Anton Zyabkin, RN-IGiRGI (Europe)
2. Andrea Infante, YPF S.A. (Latin America)
3. Patrick Tobin, OXY (North America)
4. Mystery, Matador Resources (North America)
5. Robin Viljoen, Arrow Energy (Middle East/Asia/Oceania)
6. Jorge Ramón Miguel Estrade, Consultant (Latin America)
7. Evgeny Durasov, SNG (Europe)
8. Stephen Gould, Consultant (Europe)
9. Airat Sabirov, Saudi Aramco (Middle East/Asia/Oceania)
10. Vadim Gimazov, Novatek (Europe)

Part 3: Predictive Modelling and Leveraging the Results
By Andrei Popescu, 4Cast Product Owner

Welcome back the 3rd installment of this series on data analytics as a key to the future success of the Energy sector. Hopefully you’ve found it informative thus far, and if you haven’t already I’d invite you to check out the previous 2 sections:

Part 1: What is Predictive Analytics

Part 2: Data Mining and EDA

Just to recap quickly, we discussed predictive analytics broadly as a variety of statistical techniques that help us to analyze current and historical facts in order to make predictions about future events. We then outlined the data set we had to work with and some specific steps which we would tackle to increase our understanding of the drivers behind production:

1. Define the target variable that we want to predict which can help inform our strategic decisions - in this case, our target will be 12-month Production
2. Compile and visualize the available data in a consistent format, and one that can be directly compared to our target - since 12-month Production is measured at the Well level, our data should be organized and reported at the Well level also
3. Identify existing trends/patterns within our data, and define dependent relationships
4. Select and preprocess input variables - these input variables should be quantities that can be known with a high degree of confidence prior to drilling new wells
5. Build, test, and refine data models until we have one which can accurately predict historic results based on the defined input variables
6. Simulate a large number of potential future development options, and use the data model to predict the results
7. Identify the simulated option which is predicted to achieve the optimal result

Last week we took care of Steps 1 through 3 (and to some extent 4), and came up with the following variables to move forward with:

Feature Variables: Proppant Concentration, Fluid Concentration, Stage Spacing, Total Number of Stages, and Average Porosity

Target Variable: 12-month Production (normalized for lateral length) 

So, let’s pick up right where we left off and move to pre-processing our variables. Depending on your definition of data preprocessing, many aspects of it can certainly be considered a part of the initial data mining process which we discussed last week. For our purposes we will generalize data preprocessing as referring to one or more of the following tasks:

Data cleaning
Imputation
Transformation - categorization (binning) or continuation 
Feature scaling

The above is by no means an exhaustive list, simply a representation of some of the techniques I’ve found most useful in my projects.

We discussed some aspects of data cleaning and organization in the last article (Part 2: Data Mining and EDA) when we reviewed the data structure of 4Cast. If you’re creating your workflows and preparing data for modeling in Python or R, you will need to spend whatever time is necessary compiling your data into some form of a spreadsheet (usually one or more CSV, txt, or JSON files) and use some custom scripting to combine the data into an organized format where your feature variables can be directly related to your target variable. None of this sounds fun or exciting, but without getting on my soapbox again (see last week’s article) this is the most critical step to ensuring success throughout the rest of the workflow, with few “shortcutting” opportunities.

One incredible advantage that we have working in 4Cast is that simply by using this as our analytical platform, we are working with a data set that is properly cleaned and organized on Solo Cloud, and very easy to QC in 3D (see below). In addition to this, simply by executing regular operational workflows (drilling/geosteering wells, recording log data, etc.) we continually add more and more data to our cloud database to help our future modeling efforts without any duplication of work or interruption to operational execution. 

Fig. 1 - Input data structure for predictive modeling. Feature variables outlined in Green, Target variable outlined in Red.

Fig. 2 - Input data visualized in 3D. Wells are coloured based on their calculated proppant concentration (calculated last week). Cooler colors are lower proppant concentration, while hotter colors are higher.

So given that data cleaning is done, let’s look at some of the other operations. Imputation, or replacing missing portions of data with substituted values can be a very useful tool to fill in gaps in data. Some common ways of going about this would be to substitute either the mean or mode of the data we have available in the places where it isn’t. For example, if we had proppant volumes available for 95% of our wells, but not the last 5%, we could calculate either the mean or the mode of the data we do have and substitute it in for the Wells where it’s missing. In our case, the largest gap we have is actually in the production data we have available - every well with production data has all of the other variables (features) fully defined. We’re certainly not going to substitute production values for our missing Wells since the whole purpose of this exercise is to try and predict production in the first place.

Data transformation can be very useful as well. Some common methods for transformation include categorization (binning), and continuization. The two processes are essentially inverses of each other, but let’s outline an example of categorization as I find it to be the more intuitive of two. Imagine we had a data field such as “Facies” available, and we may have our different facies types numbered as Facies 1, 2, 3, etc. This could present a number of problems when it comes to training a machine learning model. For one thing, the model won’t know to treat this value as discrete in the first place, so it may output a result that says the optimal well should be drilled in facies 2, which isn’t a reasonable or useful output. Furthermore, the model could go even further rogue and assume that the order and magnitude of the numbers actually matter. Categorization can eliminate these issues by allowing the model to treat these types of variables as discrete values, and not assign any importance to the order of magnitude of them. With our data set, we are again in an easy position as all of our variables are continuous, though if we had a Facies Log in either our Typewells or Lateral I would certainly use the operations in 4Cast to include this as an input (much like we did with Porosity).

The last step I mentioned above is feature scaling, also sometimes referred to as “normalization” or “standardization”, and we will go ahead and apply this type of preprocessing to our data. Feature scaling can take a number of different forms. For example, data normalization would take all of our training set data and scale it so that all the values fall between 0 and 1 (or sometimes -1 and 1). Standardization is similar but sets the mean of the data to 0, and the rest of the data falls within 1 standard deviation. We will be applying normalization to our data set, and I’ll cover exactly why we want to do this in a moment, but first I want to be very clear about the order of operations. When training a machine learning model, we will be using a “Training” data set, and a “Testing” data set. It is important to split the data into these two sets prior to applying feature scaling. This is because we do not want the data which we use to validate our model to influence the scaling algorithm applied to our data, since the idea is that this is brand new data that has never been seen before. So what we will do is apply feature scaling (in our case normalization) to the training data set, and then when we run the testing data set to validate our model, we will simply use the same exact normalization algorithm on our testing set as we did on the training set - regardless of what values are actually in the testing set.

So why are we bothering with feature scaling? As you’ll see in the upcoming steps, we’re going to evaluate 2 types of models simultaneously - a Random Forest model, and a Multiple Linear Regression model. The reason we need to apply normalization to our features is very clear if we take a closer look at the equation upon which our multiple linear regression model will rely. The equation has the following general form:

y = b0 + b1 x1 + b2 x2 + … + bn xn

So in our case, y is Normalized production, and x1, x2, etc. are stage spacing, porosity, proppant concentration, etc.. What does this look like if we take one of our data points at random, and plug it into this equation:

We get:

2899.8 (Norm prod) = b0 + b1(0 prop conc.) + b2(0 fluid conc.) + b3(54 stage spacing) + b4(57 stages) + b5( porosity)

Our input/output values range in magnitudes from 10^-2 for porosity, to 10^3 for Normalized production. With this type of variance, it will be incredibly difficult to accurately determine which factor is playing the greatest importance in predicting the Target (i.e. which bn matters most). By applying feature scaling, we set everything on the same magnitude as all of our values will lie between 0 and 1. We can see below the results of applying a simple normalization algorithm to our data set in order to normalize our variables to a scale of 0 to 1:

Fig. 3 - data prior to feature scaling (normalization)

Fig. 4 - data post feature scaling

Awesome. So now we have all of our data cleaned up, organized, and preprocessed. Let’s build some machine learning models! As I’ve been doing all of my work in 4Cast, I’m using Orange as my platform for applying these algorithms and building the models. 4Cast and Orange have a seamless connection which allows for all of this to be done incredibly quickly, and in a visual format - no complicated code required! Below is a snapshot of my workflow.

The first few steps are fairly straightforward - we are essentially defining the feature and target variables as we have outlined previously. Next we use the data sampler to split the data set into a training set (75% of the data) and a testing set (25% of the data). From there, we normalize the training set only - again, we don’t want our testing data to have any influence on the normalization process. Instead, we preserve the normalization function applied to the training and pass it to the model for application to future data.

Fig. 5 - model building pipeline. Notice that we split the data into a training and testing set prior to applying feature scaling. The scaling methods are then also passed to each model for use with future data inputs. Each model is evaluated using 10-fold cross-validation, then the model predictions for both the training set and the testing can be compared to the historic data in cross plots (below).

As you can see above, we have several tools for evaluating our models. The 10-fold cross-validation gives us some fast, quantifiable summaries of the results. Both models show reasonable correlation coefficients, with the Random Forest model edging out our Multiple Linear Regression by a bit.

Fig. 6 - Results of model cross-validation. R2 (R-Squared) shows the Random Forest model to be a more reliable model for predicting our target. On the right is a rank order of the importance of each variable in the models - overall, the main drivers are the total number of stages and the proppant concentration.

The last thing we want to do in order to test our models is to present them with brand new data that they haven’t “seen” yet - this is where our testing data set comes in. If you refer back to Fig. 5, you’ll see two outputs coming from the Data Sampler. The lower one represents our training set which was used to train these models, the upper one is the remaining 25% of our data which we will now pass to our models to generate new predictions. If our models are robust, they should be able to take this brand new data and accurately predict the normalized production based on the input variables. I’ve summarized the results in the scatter plots below:

Fig. 7 - Results of Test data set. In both graphs, the X-Axis shows the actual (historic) Normalized Production values. The Y-Axes show the Random Forest predicted production (top) and the Linear Regression predicted production (bottom). Both models do a reasonable job of predicting the production based on the inputs, with the Random Forest model showing a slightly better correlation.

There you have it! We’ve now generated two perfectly viable machine learning models which can be used to predict Length Normalized Production based on the following inputs:

• Proppant Concentration
• Fluid Concentration
• Stage Spacing
• Total Number of Stages
• Average Porosity

It seems a little too easy, right? The reality is that 4Cast and Solo Cloud did most of the heavy lifting when it comes to the hardest part of this whole process which is data management and organization. I would also be remiss if I didn’t mention that there is certainly much more work that can be done to further refine these models, not the least of which includes expanding our data set to include more data points, and also more refined data types. Given our data set here, the main drivers are overwhelmingly the Total Number of Stages and the Proppant Concentration, but there is a myriad of other potential variables we can (and should) include in this type of analysis. For example, if we had seismic attribute maps, we could sample these values to our Wells to see what effect that property has on our outcome. Perhaps we should include the completion timing or order in which the wells were drilled as a variable. We haven’t even considered parent-child relationships, or whether any of these Wells were knocked down by offset frac hits. Needless to say, the possibilities for taking this simple workflow to the next level are nearly endless, but now we have a platform within which we can explore all of these possibilities ad nauseum.

I’ll leave it there for now as I think I’ve gone on for long enough. I’ll be back next week to preview an incredible tool that can help us make efficient use of our new models in future decision making. As usual, please feel free to reach out to us at northamerica@rogii.com or contact me directly if you have any questions, comments, or simply want to discuss. Thanks again for your time, and looking forward to keeping the discussion going!

We'd like to publicly congratulate our finalists for the North America and Latin America region.

Tune in tomorrow to see the finals and see what Region takes home the Geosteering World Cup!

The event goes live tomorrow at 11:00 AM CST! If it's anything like the semi-finals, you definitely won't want to miss it!

To watch the live event click Here.

Here's a full list of the Finalists competing in tomorrow's World Cup

North American Finalists



Evans Darkwa: Evans works at Diversified Well Logging, LLC he has 15 years of work experience as a Geologist. He enjoys reading and is a soccer fan.

Kevin Pelton: Kevin has 10 years of work experience. He enjoys camping and playing board games with friends.

Mike Bodnar: Mike works at Cabra Consulting in Calgary. He has 8 years of work experience and enjoys rock licking and collecting chopsticks.

Ethan Cook: Ethan works at Antero Resources and he has 1.5 years of geosteering experience. He enjoys spearfishing and playing chess.

Patrick Tobin: Pat works at Oxy and has 10.5 years of work experience. He enjoys playing basketball and eating pasta.

Brad Moon: Brad has 40 years of experience and is currently working as a Consultant. He enjoys hiking mountains, singing, and politics.

“Mystery”: Works at Matador Resources.

Chris Bender: Chris works at Gordon Technologies LLC. He has 13 years of work experience in M/LWD and the last 9 in geosteering. He enjoys flying drones commercially, learning Python for data engineering, and taking cybersecurity classes.

Jeremy Kassouf: Jeremy works at Chevron and he has 12 years of work experience. He enjoys whitewater kayaking, rafting, live music, and attending music festivals.

Kevin Glass: Kevin has 5 years of work experience in Oil & Gas. He enjoys mountain biking, skiing, hiking, etc.

Tyler Shade: Tyler works at Raptor Consulting and has 4 years of work experience and enjoys skiing and cycling.

Kevin Strode: Kevin has 10 years of work experience. He enjoys spending time with his daughters, reading fantasy novels, and building stuff in Minecraft with his daughter.

Karma Doescher: Karma is the Director of Geosteering at MCWL Paladin Geological. She has 6 years of experience in Geosteering, Operations, and Mudlogging. Her hobbies include coddiwompling and working on her top-secret invention.

Jesse Merchant: Jesse works at Calyx Energy III, LLC and has 11 years of work experience. He loves any excuse to be outside.

Jacob Leader: Jacob has been at Cimarex Energy for 6 years. He enjoys pottery and playing tennis.

Bill Honsaker: Bill is a Geologist with 9 years of work experience. He enjoys road/gravel cycling.

Jon Krystinik: Jon is an Independent Geosteering Geologist with 20 years of E&P experience. He has steered over 1,000 horizontal wells and enjoys family, autocross, and spending time out on the outcrop.

Dakota Kubler: Dakota Kubler is a Geosteering Consultant he enjoys fantasy football and hiking.

Ryan Rambo: Ryan is an Operations Geologist at WPX Energy.

“Enigma”: Player 97 works at Matador Resources.

Bill Larzelere: Bill works at Continental Resources has 8 years of work experience and enjoys playing soccer as a hobby.

Nicholaus Driscoll: Nicholaus has 8 years of work experience and enjoys woodworking.

Christopher Padilla: Chris has 10 years of work experience and currently works as a Freelance Operations Geologist. He enjoys playing guitar and camping.

Katrina Ostrowicki: Katrina Ostrowicki has 8 years of experience working at Chevron as a geologist, with 2 years of that being a Geosteering Specialist. She has experience geosteering Marcellus, Utica, Permian Basin, and Vaca Muerta wells. Her hobbies include aerial silks, fostering dogs from the local Houston animal shelter, and hiking with her fiancé and foster dog.

Sarah Regen: Sarah works at GeoVision as Geosteering Manager. She has 8 years of experience and enjoys cheesemaking and studying for her grad school classes.

Matt Minnett: Matt is employed at Shell Canada Ltd., has 6 years of Geosteering experience and enjoys hockey, hiking, and camping.

Christopher Perry: Chris works at Ovintiv.

Ghazanfar Zahid: Ghazanfar has 20 years of work experience in the oil and gas industry, 15 of those years were spent providing geosteering services for Haliburton and Baker Hughes. He enjoys hiking and swimming.

Danica Watson: Danica has been at Cimarex since March as a Geosteering Specialist. Before that, she was at Apache for 3 years as an Operations Geologist and Geosteerer. Prior to that she worked at Chesapeake as a Geosteerer for 2 years. She has over 6 years of work experience and enjoys reading, play trivia, hiking, and skiing.

Jason Harms: Jason has 9 years of work experience and enjoys skiing and mountain biking.

Latin America Finalists

Andrés Damián Askenazi Vera: Andrés is a Geologist with ten years of experience in the oil industry, mainly in unconventional projects, and the last ones developing Geosteering tasks. He enjoys traveling to mountainous areas and nature reserves as well as trail running.

Jorge Ramón Miguel Estrade: Jorge has 5 years of work experience as a Wellsite Geologist. He enjoys camping and cycling.

Andrea Infante: Andrea is a Geologist with 8 years in the oil and gas industry. She started her career in mining and has since dedicated her time working on geosteering projects in conventional and unconventional reservoirs. She enjoys any outside activities like trekking, nature, and swimming.

Noelia Caterina Di Giuseppe: Noelia has 3.5 years of work experience and enjoys singing and reading novels.