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

Webinar: Advances in Machine Learning for Reservoir Characterization

By: Rocky Roden, Sr. Consulting Geophysicist for Geophysical Insights


Webinar Outline: 
   - Welcome Note - Klaus Soffried, Moderator
   - Advances of Machine Learning in Reservoir Characterization - Rocky Roden, Consulting Geophysicist
        - Introduction to Paradise
        - Overview of Machine Learning interpretation workflow
        - Case Studies highlighting:
             - Thin beds below conventional tuning
             - Detailed facies analysis
             - Direct Hydrocarbon Indicators (DHIs) related to low probability anomalies
        - Summary and Conclusions

 Rocky Roden talks about the impact of Machine Learning and Multi-Attribute Analysis on Reservoir Characterization.

Rocky Roden
Senior Consulting Geophysicist | Geophysical Insights

Rocky R. Roden has extensive knowledge of modern geoscience technical approaches (past Chairman-The Leading Edge Editorial Board).  As former Chief Geophysicist and Director of Applied Technology for Repsol-YPF, his role comprised advising corporate officers, geoscientists, and managers on interpretation, strategy and technical analysis for exploration and development in offices in the U.S., Argentina, Spain, Egypt, Bolivia, Ecuador, Peru, Brazil, Venezuela, Malaysia, and Indonesia.  He has been involved in the technical and economic evaluation of Gulf of Mexico lease sales, farmouts worldwide, and bid rounds in South America, Europe, and the Far East.  Previous work experience includes exploration and development at Maxus Energy, Pogo Producing, Decca Survey, and Texaco.  He holds a B.S. in Oceanographic Technology-Geology from Lamar University and a M.S. in Geological and Geophysical Oceanography from Texas A&M University.