Resource Library
Using Self-Organizing Maps to Define Seismic Facies
Geophysical Insights
Using multiple attributes to evaluate a 3D volume in offshore South America containing unexpected high pressure zone and the application ...
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Using Self-Organizing Maps to Explore the Yegua in the Texas Gulf Coast
Geophysical Insights
Exploring shallow Yegua formation as an independent method to accurately identify anomalies and exposing direct hydrocarbon indicators using Self-Organizing Map ...
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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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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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Using Self Organizing Maps to Expose Direct Hydrocarbon Indicators
Geophysical Insights
Utilizing machine learning in Paradise to define and reveal features not seen in conventional interpretation in an offshore Gulf of ...
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Self-Organizing Neural Nets for Automatic Anomaly Identification
Geophysical Insights
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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A multi-disciplinary approach to establish a workflow for the application of machine learning for detailed reservoir description – Wisting case study
First Break
Sharareh Manouchehri, Nam Pham, Terje A. Hellem and Rocky Roden predict lithofacies and reservoir properties using multi-attribute seismic analysis based ...
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Comparison of Seismic Amplitude to SOM Classification
Geophysical Insights
Compare traditional seismic interpretation results with SOM (Self-Organizing Maps) classification achieved with machine learning in Paradise software ...
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Machine Learning Terms
Geophysical Insights
A glossary defining essential machine learning terms within the seismic interpretation and geoscience community from Principal Component Analysis (PCA) to ...
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