SubsurfaceAI Inc’s Post

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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

Innovative AI-Powered Method for Advanced Reservoir Characterization

Innovative AI-Powered Method for Advanced Reservoir Characterization

https://subsurfaceai.ca

David Gray

Principal Geophysicist with nearly 40 years doing seismic reservoir characterization throughout the world.

7mo

We hope to be presenting this technology at the CEGA Core Conference (https://coreconference.ca/) next year. Show rights from Eni came just a little too late to show it this year. We now have those show rights, so now we can demo it anytime. Check out our booth at GeoConvention.

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