SubsurfaceAI Inc

SubsurfaceAI Inc is excited to announce our latest break through in #AI and #DeepLearning workflows for core analysis and reservoir characterization. In collaboration with Eni a novel artificial intelligence technique has been developed for predicting petrophysical properties and sedimentary structures directly from core photographs. The relationship between subsurfaceAI Inc. and Eni has culminated in the development of a workflow that allows for the detailed analysis of clastic reservoirs by extracting valuable insights from slabbed core photos, a resource that has been underutilized in the past. Initial testing on offshore wells in clastic reservoirs has shown remarkable success, demonstrating the methodologies’ ability to accurately predict petrophysical parameters. Concerning the interpretation of sedimentary structures deposited in a deep-water depositional setting, the methodology shows encouraging results, being able to recognize a good number of depositional features. Read the full press release on our brand new coreAI workflow 👉 https://lnkd.in/gNKwc5Hx #boreholegeology #coreanalysis #reservoir #subsurface

🌟 From Geomodeling Technology Corp. to SubsurfaceAI Inc.: A Journey of Innovation 🌟 Our journey began in the early 2000s when we developed specialist software like SBED and ReservoirStudio in collaboration with major oil companies to solve specific reservoir modeling challenges. These tools became industry benchmarks, empowering geoscientists to tackle complex subsurface problems with precision. 🏞️ Adapting to Change As the oil and gas industry evolves, so do we. Today, as SubsurfaceAI Inc., we’ve taken a bold step forward by unifying our expertise into the SubsurfaceAI platform — an integrated solution for subsurface interpretation, integration, and modeling, powered by cutting-edge AI and machine learning. 🚀 Empowering Subsurface Workflows Our focus is clear: increase the efficiency and accuracy of our end users. With innovations like seismic well ties, RGT and horizon cubes, and automated fault and horizon mapping, we’re enabling geoscientists to transition from traditional workflows to AI/ML-assisted processes that save time and reduce guesswork. 🤝 Built on Trust This transformation is possible thanks to the trust of our long-term users and early adopters of the SubsurfaceAI platform. Your success drives our commitment to deliver solutions tailored to today’s challenges. 🔗 Let’s Shape the Future We remain dedicated to supporting the industry with innovative tools and unparalleled service. Whether you're a long-time user or exploring AI/ML workflows for the first time, we invite you to join us in reshaping subsurface exploration and production. #AI #Seismicinterpretation#ReservoirModeling #Geoscience #Innovation #SubsurfaceAI Mark Tobin Renjun Wen Rongfeng Zhang Art Valdez Cindy Luo David Gray

SubsurfaceAI Inc is pleased to announce the release of 2024.2 to for the energy and energy transition industries. The past 7 months we have been focused on implementing workflows and data connections that will vastly speed up the workflows and improve the user experience. This is a major milestone for our software and shows our dedication to data connectivity for the use in our #AI and #machinelearning workflows. One of the major highlights of the release is the addition of a SeisWare International Inc. project import pipeline. This is our first iteration of the pipeline, and it includes the following data types to be moved from SeisWare to subsurfaceAI with one button-click. -Seismic data (2-D and 3-D surveys) -Well data (well header, well path, well tops, well zones, logs, and T-D curves) -2-D and 3-D horizon interpretations -Culture data Also, another exciting new announcement is the launch of a new product called coreAI. This utilizes AI for automatic interpretation of sedimentary facies, bedding structure types and rock types of core photos. It can also predict core plug measurements, such as grain size, porosity and permeability from core photos. Please check out the following link for more information. https://lnkd.in/gNBdZbZV Renjun Wen David Gray Art Valdez Mark Tobin Rongfeng Zhang Cindy Luo

subsurfaceAI 2024.2 includes a rapid workflow for AI infused core photo interpretation and rock property prediction. Learn more from the abstract below

AI-powered seismic interpretation is no longer a thing of the future—it's here now! With subsurfaceAI 2024.2, you can supercharge your subsurface workflows and achieve results in a fraction of the time. Imagine completing large-scale seismic interpretation projects in just days, even hours, instead of months. Here’s a glimpse of what subsurfaceAI 2024.2 offers: Fault Detection: Automatically detect and map faults with AI-trained models that go beyond traditional seismic attributes, delivering accurate fault probability volumes that can be converted into fault surfaces for advanced modeling. Seismic Sequence Interpretation: Harness the power of AI to recognize seismic reflection patterns and generate comprehensive seismic sequence volumes, enhancing your understanding of subsurface geology. Horizon Auto-Extraction: Save months of manual interpretation time. AI learns from your input and extends horizon interpretations across entire seismic volumes in just days. Channel Detection and Salt Dome Modeling: Detect geobodies like channels and salt domes, which are often missed by legacy software, with precision and speed. Seismic-Well Tie: Integrate well tops and seismic data more efficiently, enhancing your workflow with synthetic seismograms and machine learning predictions that tie thousands of wells with greater accuracy. subsurfaceAI 2024.2 is designed to drastically improve the efficiency and accuracy of seismic interpretation, allowing geoscientists to focus on higher-level insights rather than time-consuming manual tasks. It’s time to embrace the future of subsurface exploration! Explore subsurfaceAI 2024.2 and unlock the full potential of AI-driven seismic interpretation today!

SubsurfaceAI Inc is proud to be a OSDU member, reducing the pain of data exchange among subsurface software applications

More visitors to our booth and many useful feedbacks to our AI software, from #coreAI to #interpAI at IMAGE2024. SubsurfaceAI Inc

A very busy first day at IMAGE 2024. Please join us tomorrow if you are attending IMAGE 2024. Our booth number is 2019. SubsurfaceAI Inc Mark Tobin David Gray Rongfeng Zhang Cindy Luo Art Valdez

New booth graphics at IMAGE 2024 SubsurfaceAI Inc Mark Tobin Renjun Wen

A new booth at IMAGE 2024