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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Dr. ChingWen Chen will be one of the speakers at the 2017 Chinese American Petroleum Assocation (CAPA) Technical Syposium. During Section B: Big Data and Unconventional Plays, Dr. Chen will present "Multi-Seismic Attribute Analysis with Machine Learning: An Unsupervised Approach" at 15:40 on Friday, 3 November 2017.

Please go to http://www.capaus.org/event-2689301 for more details on the event. 

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Dr. ChingWen Chen | Sr. Geophysicist | Geophysical Insights

ChingWen Chen received an M.S. (2007) and a Ph.D. (2011) in Geophysics from the University of Houston, studying global seismology. After graduation, she joined the industry as a geophysicist with Noble Energy where she supported both exploration and development projects. Dr. Chen has a great passion for quantitative seismic interpretation, and more specifically rock physics, seismic imaging and multi-seismic attribute analysis. She later joined Geophysical Insights as a Senior Geophysicist, where the application of machine learning techniques became a focus of her work. Since 2015, her primary interest has been in increasing the efficiency of seismic interpretation.