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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

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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synthetic SOM example

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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Webinar Intro Tao Zhao 20Mar2019

Video (in Chinese) : 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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Webinar Intro Tao Zhao 20Mar2019

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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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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Holy Grail Slideshow Title Card

The Holy Grail of Machine Learning in Seismic Interpretation

Geophysical Society of Houston (GSH)
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Dr. Tom Smith shares the "Holy Grail" of Machine Learning in Seismic Interpretation with the Geophysical Society of Houston ...
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Title slide for geobodies in paradise

Geobodies in Paradise: a Machine Learning Application

Geophysical Insights
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Dr. Tom Smith presents "Geobodies in Paradise: a Machine Learning Application" at the 2018 SEG Convention in Anaheim, California. Dr ...
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CNN_facies

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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