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AAPG Deep Learning TIG Lunch and Learn with Deborah Sacrey: Machine Learning / New Discoveries and Reservoir Optimization
Introduction: Patrick Ng, Real Core Energy - AAPG Deep Learning Technical Interest Group Chair

Join Deborah Sacrey to take an in-depth look at two examples of Machine Learning to define reservoir limits in old fields and look for potential drilling locations.

One field is an unconventional reservoir in the Meramec Formation in central Oklahoma. The other field is a conventional reservoir in the Upper Cretaceous in East Texas. The East Texas field is put through the process of Bivariate statistics to confirm neural patterns as reservoir quality rock.

About Deborah Sacrey
Deborah is a geologist/geophysicist with 45 years of oil and gas exploration experience in the Texas and Louisiana Gulf Coast and Mid-Continent areas of the US. She received her degree in Geology from the University of Oklahoma in 1976 and immediately started working for Gulf Oil in their Oklahoma City offices. She started her own company, Auburn Energy, in 1990 and built her first geophysical workstation using Kingdom software in 1996. She helped SMT/IHS for 18 years in developing and testing the Kingdom Software. She specializes in 2D and 3D interpretation for clients in the US and internationally. For the past ten years she has been part of a team to study and bring the power of multi-attribute neural analysis of seismic data to the geoscience public, guided by Dr. Tom Smith, founder of SMT. She has become an expert in the use of Paradise software and has over 5 discoveries for clients using multi-attribute neural analysis.

May 5, 2021 12:00 PM in Central Time (US and Canada)

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