Resource Library
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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Geologic Pattern Recognition from Seismic Attributes: Principal Component Analysis and Self-Organizing Maps
Interpretation Journal
Current computing technology has allowed for the application of new machine learning techniques in analyzing seismic data through pattern recognition ...
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Seismic Facies Classification Using Different Deep Convolutional Neural Networks
Geophysical Insights
Using a new supervised learning technique, convolutional neural networks (CNN), interpreters are approaching seismic facies classification in a revolutionary way ...
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A Fault Detection Workflow Using Deep Learning and Image Processing
Geophysical Insights
Tao Zhao unveils a fault detection workflow using deep learning and image processing technologies at the 2018 Annual SEG Meeting ...
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The Holy Grail of Machine Learning in Seismic Interpretation
Geophysical Society of Houston (GSH)
Dr. Tom Smith shares the "Holy Grail" of Machine Learning in Seismic Interpretation with the Geophysical Society of Houston ...
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Geobodies in Paradise: a Machine Learning Application
Geophysical Insights
Dr. Tom Smith presents "Geobodies in Paradise: a Machine Learning Application" at the 2018 SEG Convention in Anaheim, California. Dr ...
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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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Comparison of Seismic Amplitude to SOM Classification
Geophysical Insights
Compare traditional seismic interpretation results with SOM (Self-Organizing Maps) classification achieved with machine learning in Paradise software ...
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Paradise 3.2
Geophysical Insights
Geophysical Insights announces the launch of Paradise 3.2, which includes the isolation of geobodies through machine learning, and the generation ...
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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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