Paradise International Webinar
Presented by Rocky Roden
The accurate interpretation of DHI characteristics has proven to significantly improve the success rates of drilling commercial wells. In this webinar, Rocky Roden looks at seismic multi-attribute analysis using Self-Organizing Maps (SOMs), a machine learning approach that distills information from numerous attributes to provide an accurate assessment of DHI characteristics.
Most Popular Papers
Systematic Workflow for Reservoir Characterization in Northwestern Colombia using Multi-attribute Classification
Net Reservoir Discrimination through Multi-Attribute Analysis at Single Sample Scale
Seismic Facies Classification Using Deep Convolutional Neural Networks