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Seismic Interpretation Below Tuning with Multiattribute Analysis

Seismic Interpretation Below Tuning with Multiattribute Analysis

The Leading Edge
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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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2D Colormaps

Distillation of Seismic Attributes to Geologic Significance

Offshore Technology Conference
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Seismic attributes identify many geologic features in seismic data where PCA helps identify optimal attributes and help determine which attributes ...
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Thumbnail for making sense of machine learning

Making Sense of Machine Learning

Geophysical Insights
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Machine Learning is revolutionizing geoscience and the Oil and Gas industry. As an interpreter, Rocky Roden, explores how machine learning ...
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Comparison of Seismic Inversion and SOM Seismic Multi-Attribute Analysis

Comparison of Seismic Inversion and SOM Seismic Multi-Attribute Analysis

Geophysical Insights
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Self-Organizing Maps (SOM) is a relatively new approach for seismic interpretation in our industry and should not be confused with ...
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