Resource Library

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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multi attribute analysis for unconventionals

Attribute Analysis in Unconventional Resource Plays Using Unsupervised Neural Networks

Geophysical Insights
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A case study of 10 square mile Eagle Ford Shale Trend utilizing machine learning in Paradise to apply inversion and ...
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Time slice

Seismic Attribute Analysis Can Benefit From Unsupervised Neural Network

Offshore Magazine
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Process identifies anomalies from original data without bias using Unsupervised Neural Networks in Greenfield Exploration ...
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Asset 1

Unsupervised Neural Networks – Disruptive Technology for Seismic Interpretation

Oil & Gas Journal
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Process identifies anomalies from original data without bias using Unsupervised Neural Networks in Greenfield Exploration ...
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BEG Line 53 Full Classification - Copy

Self-Organizing Neural Nets for Automatic Anomaly Identification

Geophysical Insights
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Self-organizing maps are a type of unsupervised neural network which fit themselves to the pattern of information in multi-dimensional data ...
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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
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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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pattern recognition for seismic attributes

Innovative Solutions Pave Way Forward

American Oil and Gas Reporter (AOGR)
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Geophysical Insights’ Paradise™ analytic software platform applies automated pattern recognition to analyze seismic attributes in almost infinite combinations to delineate ...
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Seismic interpretation workflow with Paradise

Advancing Seismic Research with Modular Frameworks

Oilfield Technology
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New technology for the Big Data problem of the seismic volume using Unsupervised Neural Networks for the interpretation of Greenfield ...
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