Resource Library
Fabric and internal architecture of Permian Basin turbidites indicated by unsupervised machine learning analysis of P-P and SV-P images
Interpretation Journal
By Bob Hardage, Tom Smith, Diana Sava, Yi Wang, Rocky Roden, Gary Jones, and Sarah Stanley | Published with permission: Interpretation ...
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What Interpreters Should Know About Machine Learning
Geophysical Insights
By Rocky Roden | May 2020 Introduction to Machine Learning for Interpreters ● Why Machine Learning now? ● Address terminology ...
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Machine Learning Technologies for Seismic Interpretation with Case Studies
Geophysical Insights
This webinar features a 60-minute presentation by Dr. Carrie Laudon, a Senior Consulting Geophysicist for Geophysical Insights. ...
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Unsupervised Machine Learning Techniques for Subtle Fault Detection
First Break
In this paper, authors suggest a workflow that enables interpreters to apply principal component analysis (PCA) and self- organizing maps ...
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A multi-disciplinary approach to establish a workflow for the application of machine learning for detailed reservoir description – Wisting case study
First Break
Sharareh Manouchehri, Nam Pham, Terje A. Hellem and Rocky Roden predict lithofacies and reservoir properties using multi-attribute seismic analysis based ...
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Systematic Workflow for Reservoir Characterization in Northwestern Colombia using Multi-attribute Classification
First Break
A workflow is presented which includes data conditioning, finding the best combination of attributes for ML classification aided by Principal ...
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Advantages of Machine Learning with Multi-Attribute Seismic Surveys
Geophysical Insights
Dr. Tom Smith explains the advantages of using machine learning to analyze multiple attributes of seismic surveys simultaneously, including specific ...
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Net Reservoir Discrimination through Multi-Attribute Analysis at Single Sample Scale
First Break
Published in the special Machine Learning edition of First Break, this paper lays out results from multi-attribute analysis using Paradise, ...
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NEW e-Course by Dr. Tom Smith: Machine Learning Essentials for Seismic Interpretation
Geophysical Insights
Dr. Tom Smith presents an e-course on Machine Learning Essentials for Seismic Interpretation originally hosted by the Geophysical Society of ...
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