Resource Library
Advantages of Machine Learning with Multi-Attribute Seismic Surveys
Geophysical Insights
Dr. Tom Smith, the President and CEO of Geophysical Insights, presents to the University of Houston Wavelet Society on the ...
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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
Machine learning is foundational to the digital transformation of the oil & gas industry and will have a dramatic impact ...
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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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Machine Learning with Deborah Sacrey – AAPG Energy Insights Podcast
AAPG Energy Insights
Deborah Sacrey talks about Machine Learning on AAPG's Energy Insights podcast ...
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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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Applications of Machine Learning for Geoscientists – Permian Basin
Geophysical Insights
Carrie Laudon, Senior Geoscience Consultant with Geophsyical Insights, explores new Machine Learning applications in E&P for geoscientists in the Permian ...
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Video: Leveraging Deep Learning in Extracting Features of Interest from Seismic Data
Geophysical Insights
Dr. Tao Zhao discusses how deep learning technology, namely convolutional neural networks (CNN), is revolutionizing seismic data interpretation like seismic ...
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Seismic Facies Classification Using Deep Convolutional Neural Networks
SEG Annual Meeting
Using a new supervised learning technique, convolutional neural networks (CNN), interpreters are approaching seismic facies classification in a revolutionary way ...
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