Resource Library
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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Thin Beds and Anomaly Resolution in the Niobrara
Geophysical Insights
Using machine learning to classify a 100-square-mile seismic volume in the Niobrara, geoscientists were able to interpret thin beds below ...
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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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What is Big Data?
Geophysical Insights
Dr. Tom Smith explains "What is Big Data" and it's impact on the oil and gas industry in this short ...
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Attribute Essentials: Categories of Attributes
Geophysical Insights
A review of the various attribute categories and their possible application ...
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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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