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Future of Seismic Interpretation with Machine Learning and Deep Learning

Future of Seismic Interpretation with Machine Learning and Deep Learning

Geophysical Insights
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By: Iván Marroquín, Ph.D. - Senior Research Geophysicist I am very excited to participate as a speaker in the workshop ...
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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 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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Using Self Organizing Maps to Expose Direct Hydrocarbon Indicators

Using Self Organizing Maps to Expose Direct Hydrocarbon Indicators

Geophysical Insights
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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 Map SOM - Attributes

Using Self-Organizing Maps to Explore the Yegua in the Texas Gulf Coast

Geophysical Insights
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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

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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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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Well locations for the DHI Consortium

Relating Seismic Interpretation to Reserve / Resource Calculations

The Leading Edge
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Top 5 class 3 direct hydrocarbon indicator characteristics, top five class 2 DHI characteristics, reasons for failure, implications for resource ...
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