Dr. Tom Smith presenting on Machine Learning at the 3D Seismic Symposium on March 6th in Denver
What is the "holy grail" of Machine Learning in seismic interpretation? by Dr. Tom Smith, GSH Luncheon 2018
Using Attributes to Interpret the Environment of Deposition - A Video Course. Taught by Kurt Marfurt, Rocky Roden, and ChingWen Chen
Dr. Kurt Marfurt and Dr. Tom Smith featured in the July edition of AOGR on Machine Learning and Multi-Attribute Analysis
Rocky Roden and Ching Wen Chen in May edition of First Break - Interpretation of DHI Characteristics using Machine Learning
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Premium Content on Your Schedule


SEG 2017 - Houston

Building the Attribute Library for Identifying the Depositional Environment

Dr. Kurt Marfurt | Principal Investigator, AASPI Consortium at The University of Oklahoma


Multi-Attribute Stacking and SOM for Enhanced Seismic Resolution

Dr. Tom Smith | President / CEO, Geophysical Insights


Advancements in Seismic Reservoir Characterization with Machine Learning

Rocky Roden | Sr. Consulting Geophysicist, Geophysical Insights

Seismic Interpretation and Machine Learning: What Do I Need to Know?

Rocky Roden | Sr. Consulting Geophysicist, Geophysical Insights


Best Practices in the Application of Machine Learning to Finding Hydrocarbons

Deborah Sacrey | Sr. Geoscientist, Geophysical Insights


Identifying Attributes for the Geologic Setting

Dr. ChingWen Chen | Sr. Geophysicist, Geophysical Insights


An Introduction to Multi-Attribute Classification and Analysis- Hal Green

Hal Green | Director - Marketing/BD, Geophysical Insights