Resource Library
Making Sense of Machine Learning
Geophysical Insights
Machine Learning is revolutionizing geoscience and the Oil and Gas industry. As an interpreter, Rocky Roden, explores how machine learning ...
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Attribute Selection: Machine Learning vs. Interactive Interpretation
Geophysical Insights
Dr. Kurt Marfurt, Principal Investigator at the AASPI Consortium at the University of Oklahoma, shares insights on "Attribute Selection: Machine ...
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Solving Interpretation Problems using Machine Learning on Multi-Attribute, Sample-Based Seismic Data
Geophysical Insights
Deborah Sacrey, Owner and Geophysicist of Auburn Energy, provides a review of the various attribute categories and their possible machine ...
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Solving Exploration Problems with Machine Learning
First Break
Geoscientists Deborah Sacrey and Rocky Roden solve exploration problems using Paradise, machine learning software for seismic interpretation in the June ...
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Machine Learning Terms
Geophysical Insights
A glossary defining essential machine learning terms within the seismic interpretation and geoscience community from Principal Component Analysis (PCA) to ...
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What is Machine Learning?
Geophysical Insights
Machine Learning is a subset of Narrow AI that does pattern classification. It’s an engine – an algorithm that learns ...
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Significant Advancements in Seismic Reservoir Characterization with Machine Learning
SPE Norway
Geophysicists, Rocky Roden & Patricia Santogrossi, discuss machine learning applications enabling refined assessment of thin beds and DHI characteristics ...
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Seismic Interpretation of DHI Characteristics with Machine Learning
Geophysical Insights
The accurate interpretation of DHI characteristics has proven to significantly improve the success rates of drilling commercial wells. In this ...
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Machine Learning Revolutionizing Seismic Interpretation
American Oil and Gas Reporter (AOGR)
Machine learning is enabling a new world of seismic interpretation as oil and gas activity pivots toward a new phase ...
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