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Machine Learning / New Discoveries and Reservoir Optimization

AAPG Deep Learning TIG Lunch and Learn Webinar

Occurred Wednesday, 5 May 2021, 12:00 p.m.–1:00 p.m.  |  Virtual Webinar via Zoom (Tulsa, Oklahoma time)

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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.
With an introduction by Patrick Ng, Real Core Energy - AAPG Deep Learning Technical Interest Group Chair

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.

Deborah K. Sacrey
Susan Nash, Ph.D. Director, Innovation and Emerging Science and Technology
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The American Association of Petroleum Geologists (AAPG) does not endorse or recommend any products and services that may be cited, used or discussed in AAPG publications or in presentations at events associated with AAPG.