Geophysical Insights hosting the 2018 OIl & Gas Machine Learning Symposium in Houston on September 27, 2018
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

Visit Us at SEG 2017 - Houston - Booth 301

SEG Email Header.jpg
Technical Presentations
Booth 301
Online Schedule
Tour Paradise
Booth 301
 Dr. Kurt Marfurt 
Featured Guest Speaker
AAPSI Consortium | Principal Investigator at The University of Oklahoma

Wednesday, 27 September at 1:00 PM - Booth 

Presentation Schedule:



Building the Attribute Library for Identifying the Depositional Environment

Dr. Kurt Marfurt
AASPI Consortium l Principal Investigator

Multi-Attribute Stacking and SOM for Enhanced Seismic Resolution

Dr. Tom Smith
Geophysical Insights l President & CEO

Best Practices in the Application of Machine Learning to Finding Hydrocarbons

Deborah Sacrey
Geophysical Insights l Sr. Geoscientist

Identifying Attributes for the Geologic Setting

Dr. ChingWen Chen
Geophysical Insights l Sr. Geophysicist

Advancements in Seismic Reservoir Characterization with Machine Learning

Seismic Interpretation and Machine Learning: What Do I Need to Know? 

Rocky Roden
Geophysical Insights l Sr. Consulting Geophysicist

Applications of Multi-Attribute Analysis

Hal Green
Geophysical Insights l Director - Marketing & BD

Geophysical Insights, “From Insight to Foresight”, “Multi-Attribute Analysis lives here”, and Paradise are
registered trademarks of Geophysical Research LLC. All rights reserved. 2010-2017