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Solving Interpretation Problems using Machine Learning on Multi-Attribute, Sample-Based Seismic Data

Geophysical Insights
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Deborah Sacrey of Auburn Energy hosts a webinar addressing challenges like interpretation of thin bedded reservoirs far below conventional seismic ...
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Seismic Attribute Essentials classifying seisimic attributes using machine learning SOM classification

Attribute Essentials: Categories of Attributes

Geophysical Insights
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A review of the various attribute categories and their possible application ...
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Image of conventional stacked seismic amplitudes

Interpretation of DHI Characteristics with Machine Learning

First Break
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Applying Self-Organizing Maps (SOM) and Principal Component Analysis (PCA) in sub-seismic resolution to reveal facies and shale ...
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Seismic Interpretation with Machine Learning

Seismic Interpretation with Machine Learning

GeoExpro
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Today’s seismic interpreters must deal with enormous amounts of information, or ‘Big Data’, including seismic gathers, regional 3D surveys with ...
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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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Water Oil Contact - Conventional Multi-Attribute Analysis

Approach Aids Multiattribute Analysis

American Oil and Gas Reporter (AOGR)
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How Self-Orgazining Maps (SOM) and Principal Componenrt Analysis (PCA) greatly enhances the interpretation process to identify geology in diffferent settings ...
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seismic interpretation software - SOM

Seismic Pattern Recognition in Shale Resource Plays

E&P Magazine
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Utilizing machine learning via Self-Organizing Maps (SOM) and Principal Component Analysis (PCA) interpretation techniques to help identify sweet spots ...
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Thumbnail image with futuristic line chart

Innovative Solutions Pave Way Forward

American Oil and Gas Reporter (AOGR)
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Using advanced attribute analysis to improve analysis for unconventional reservoirs and anomalies in subsurface datasets ...
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From Insights to Foresights

From Insights to Foresights

New Technology Magazine
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Risks and rewards are evenly poised in the hydrocarbons industry, and along with oil and gas companies, probably no one ...
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