Seismic Interpretation of DHIs with Machine Learning
July 25, 2017 - Paradise® Webinar
Title: Seismic Interpretation of DHIs with Machine Learning
Presenter: Rocky Roden, Sr. Consulting Geophysicist, Geophysical Insights
Direct Hydrocarbon Indicators (DHIs) are seismic anomalies due to the presence of hydrocarbons, caused by changes in rock physic properties, typically of the hydrocarbon-filled reservoir in relation to the encasing rock or the brine portion of the reservoir. The accurate interpretation of DHI characteristics has proven to significantly improve the success rates of drilling commercial wells. In this webinar, Rocky Roden will look at seismic multi-attribute analysis using Self-Organizing Maps (SOMs), a machine learning approach that distills information from numerous attributes to provide an accurate assessment of DHI characteristics.
Topics in this webinar will cover:
- The impact of DHI’s on success rates of commercial wells
- Top DHI characteristics linked to well success rates
- Seismic attribute applications to DHIs
- Using machine learning for multi-attribute analysis
- Case Study: Offshore Gulf of Mexico
- Case Study: Onshore Texas
The webinar is open to those interested in learning more about how the application of multi-attribute analysis is key to interpreting Direct Hydrocarbon Indicator (DHI) characteristics.
To register, please sign up by clicking the corresponding link for your preferred time.
Senior 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.