Watch videos of Presentations from SEG 2017
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
Seismic interpretation and machine learning by Rocky Roden and Deborah Sacrey, GeoExPro, December 2016

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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.