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

Earlier this week, Rocky Roden's presentation on "Interpreting Below Seismic Tuning Using Multi-Attribute Analysis" garnered quite the buzz.  Geosicentists across the globe learned of new processes in visualizing thin beds and facies with machine learning technology.  In the presentation, Mr. Roden covered topics such as: 

  • Rayleigh's Criterion and the classical basis of seismic tuning

  • Work by Brown et al. (1984,1986) and Connolly (2007) on thin bed calculations

  • Phenomena at or below tuning

  • Applications of attributes to the wedge model

  • How multi-attribute classification techniques that use machine learning enable visualization below tuning

  • Case studies in the application of this new technique in conventional and unconventional geologic settings

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.