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First Steps in the Sub-Seismic Resolution of the Eagle Ford, Part I

Geophysical Insights
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Using machine learning to analyze 5 instantaneous attributes helped reveal patterns across 5 instantaneous attributes and unique Eagle Ford facies ...
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Detailed Sub-Seismic Resolution in the Eagle Ford Shale and Identification of Under-Explored Geobodies, Part 2

Detailed Sub-Seismic Resolution in the Eagle Ford Shale and Identification of Under-Explored Geobodies, Part 2

Geophysical Insights
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Results of a Self-Organizing Map (SOM) of many instantaneous attributes to reveal different types of facies and shale that apply ...
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Stratigraphic and Structural Resolution Using Instantaneous Attributes on Spectral Decomp Sub-Bands, Buda and Austin Chalk Formations, Part 4

Stratigraphic and Structural Resolution Using Instantaneous Attributes on Spectral Decomp Sub-Bands, Buda and Austin Chalk Formations, Part 4

Geophysical Insights
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Concurrent analysis of multiple attributes through machine learning to spectral decomposition sub-bands and other geology that apply attributes for stratigraphic ...
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multi attribute analysis for unconventionals

Attribute Analysis in Unconventional Resource Plays Using Unsupervised Neural Networks

Geophysical Insights
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A case study of 10 square mile Eagle Ford Shale Trend utilizing machine learning in Paradise to apply inversion and ...
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