Resource Library
Geologic Pattern Recognition from Seismic Attributes: Principal Component Analysis and Self-Organizing Maps
Interpretation Journal
Analyzing seismic data through geologic pattern recognition methods like Self-Organizing Maps (SOM) and Principal Component Analysis (PCA) in Paradise machine ...
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Distillation of Seismic Attributes to Geologic Significance
Offshore Technology Conference
Seismic attributes identify many geologic features in seismic data where PCA helps identify optimal attributes and help determine which attributes ...
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Seismic Attribute Analysis Can Benefit From Unsupervised Neural Network
Offshore Magazine
Process identifies anomalies from original data without bias using Unsupervised Neural Networks in Greenfield Exploration ...
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Advantages of Machine Learning with Multi-Attribute Seismic Surveys
Geophysical Insights
Dr. Tom Smith explains the advantages of using machine learning to analyze multiple attributes of seismic surveys simultaneously, including specific ...
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Solving Interpretation Problems using Machine Learning on Multi-Attribute, Sample-Based Seismic Data
Geophysical Insights
Deborah Sacrey, Owner and Geophysicist of Auburn Energy, provides a review of the various attribute categories and their possible machine ...
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Seismic Interpretation Below Tuning with Multi-attribute Analysis
The Leading Edge
Seismic interpretation of thin beds below tuning has always been a challenge in the oil and gas industry. A multi-attribute ...
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Seismic Interpretation Below Tuning with Multi-Attribute Analysis
Geophysical Insights
This international webinar describes how multi-attribute seismic analysis is applied using the Paradise software to visualize thin beds and facies ...
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Introduction to Self-Organizing Maps in Multi-Attribute Seismic Data
Geophysical Society of Houston (GSH)
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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Systematic Workflow for Reservoir Characterization in Northwestern Colombia using Multi-attribute Classification
First Break
A workflow is presented which includes data conditioning, finding the best combination of attributes for ML classification aided by Principal ...
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