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Unsupervised Neural Networks - Disruptive Technology for Seismic Interpretation

Unsupervised Neural Networks – Disruptive Technology for Seismic Interpretation

Oil & Gas Journal
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Reducing the risk and time in finding oil and gas using machine learning techniques via unsupervised neural networks ...
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Introduction to Self-Organizing Maps in Multi-Attribute Seismic Data

Introduction to Self-Organizing Maps in Multi-Attribute Seismic Data

Geophysical Society of Houston (GSH)
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Unsupervised neural network searches multi-dimensional data for natural clusters. Neurons are attracted to areas of higher information density. The SOM ...
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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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seismic interpretation software - SOM

Delighting in Geophysics

GeoExpro
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Dr. Thomas A. Smith founded Seismic Micro-Technology (SMT) in 1984 and led the development of the widely adopted Kingdom Suite ...
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Geologic Pattern recognition

Geologic Pattern Recognition from Seismic Attributes: Principal Component Analysis and Self-Organizing Maps

Interpretation Journal
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Current computing technology has allowed for the application of new machine learning techniques in analyzing seismic data through pattern recognition ...
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Geobody Interpretation Through Multi-Attribute Surveys, Natural Clusters and Machine Learning

Geobody Interpretation Through Multi-Attribute Surveys, Natural Clusters and Machine Learning

Geophysical Insights
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This paper sets out a unified mathematical framework for the process from seismic samples to geobodies ...
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3-d machine learning seismic interpretation image

Machine Learning Revolutionizing Seismic Interpretation

American Oil and Gas Reporter (AOGR)
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Machine Learning for Seismic Interpretation driven by the nature of the technical and business demands facing geoscientists as oil and ...
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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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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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