What Interpreters Should Know About Machine Learning Read More »
Presentation
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Finding the Best Attribute Combination for Seismic Facies Classification Read More »
Dr. Tom Smith shares the “Holy Grail” of Machine Learning in Seismic Interpretation with the Geophysical Society of Houston.
Dr. Tom Smith presents “Geobodies in Paradise: a Machine Learning Application” at the 2018 SEG Convention in Anaheim, California. Dr. Smith explains four geobody examples including Golden 3D Survey Geobodies, Eagle Ford Sweet Spot Predictions, Niobrara Sweet Spot Predictions and Stratton Field Strategraphic Fabric by Geobody Shape Classification.
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Machine Learning is revolutionizing geoscience and the Oil and Gas industry. As an interpreter, Rocky Roden, explores how machine learning technologies is helping solve problems.
Compare traditional seismic interpretation results with SOM (Self-Organizing Maps) classification achieved with machine learning in Paradise software.
Dr. Kurt Marfurt, Principal Investigator at the AASPI Consortium at the University of Oklahoma, shares insights on “Attribute Selection: Machine Learning vs. Interactive Interpretation.”