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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RMAG Monthly Luncheon

 Deborah Sacrey speaks at RMAG Monthly Luncheon about "Case Histories showing the use of Multi-Attribute Seismic Analysis".

Case Studies by

Deborah Sacrey, Auburn Energy

 Deborah Sacrey - Auburn Energy  Case Histories showing the use of Multi-Attribute seismic Analysis.

RMAG Monthly Luncheon | Denver on August 3rd

“See More ­– Get More! Unsupervised Neural Analysis of Seismic Attributes to find the “Sweet Spots” in your data – with Conventional and Unconventional Case Histories.”

The RMAG monthly luncheon will be held at Maggiano's Little Italy in Downtown Denver on August 3rd (check in starting at 11:15am). Enjoy incredible food while you learn more about Multi-Attribute Seismic Analysis. Don't feel like having lunch? It's only $10 as a walk-in without the meal! If you would like the whole package, you can register at www.rmag.org.

Don't wait to sign up!

The deadline for online registration is Thursday, July 28, 2016.

Helpful information at http://www.rmag.org/upcoming-luncheons.

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