Description

Data Integration and AI for Carbonate Reservoir Modeling

This talk presents an integrated, basin-scale workflow for using machine-learning and AI to accelerate and improve carbonate reservoir modeling in the Permian Basin. New algorithms are tested in a very large, "evergreen" 3D geomodel, allowing robust comparison of lithofacies prediction and fault extraction techniques against traditional workflows. 

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