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Net Reservoir Discrimination through Multi-Attribute Analysis at Single Sample Scale

Net Reservoir Discrimination through Multi-Attribute Analysis at Single Sample Scale

First Break
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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

NEW e-Course by Dr. Tom Smith: Machine Learning Essentials for Seismic Interpretation

Geophysical Insights
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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

Machine Learning Applied to 3D Seismic Data from the Denver-Julesburg Basin Improves Stratigraphic Resolution in the Niobrara

Unconventional Resources Technology Conference
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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

Machine Learning with Deborah Sacrey – AAPG Energy Insights Podcast

AAPG Energy Insights
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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

The Oil Industry’s Cyber–Transformation Is Closer Than You Think

AAPG Explorer
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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

Applications of Machine Learning for Geoscientists – Permian Basin

Geophysical Insights
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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

Video: Leveraging Deep Learning in Extracting Features of Interest from Seismic Data

Geophysical Insights
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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

Seismic Facies Classification Using Deep Convolutional Neural Networks

SEG Annual Meeting
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Using a new supervised learning technique, convolutional neural networks (CNN), interpreters are approaching seismic facies classification in a revolutionary way ...
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Image of Seismic amplitude co-rendered Lines A and B

A Fault Detection Workflow Using Deep Learning and Image Processing

SEG Annual Meeting
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Tao Zhao unveils a fault detection workflow using deep learning and image processing technologies at the 2018 Annual SEG Meeting ...
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