Resource Library
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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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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Machine Learning Applied to 3D Seismic Data from the Denver-Julesburg Basin Improves Stratigraphic Resolution in the Niobrara
Unconventional Resources Technology Conference
In a paper presented at URTeC 2019, Geophysical Insights uses Paradise machine learning software to improve resolution the reservoir intervals ...
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The Oil Industry’s Cyber–Transformation Is Closer Than You Think
AAPG Explorer
Dr. Tom Smith, President and CEO of Geophysical Insights, shares his predictions on the evolution of digital transformation in oil ...
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