Machine and Deep Learning Applications in the Permian Basin

Explore machine learning and deep learning applications in the Permian Basin through this 47-minute conference talk. Delve into innovative methodologies for 3D lithofacies prediction in carbonate CCUS reservoirs and fault detection in 3D seismic surveys. Learn how Self Organized Maps (SOM) and a combination of supervised Deep Learning (DL) and unsupervised Machine Learning (ML) technologies are revolutionizing reservoir characterization and fault detection. Discover how these advanced techniques enhance the accuracy and efficiency of subsurface modeling, with specific examples from the Midland Basin and Permian Basin. Gain insights into the integration of seismic and well log data for improved predictions and the generation of fault probability volumes for structural geomodeling.