Case Study

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Thin Beds and Anomaly Resolution in the Niobrara

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Using machine learning to classify a 100-square-mile seismic volume in the Niobrara, geoscientists were able to interpret thin beds below ...
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Seismic Attributes for Attenuation

Using Self Organizing Maps to Expose Direct Hydrocarbon Indicators

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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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Eagle Ford Case Study

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Latest Technology for Seismic Interpretation: Direct detection & delineation of facies architecture in the Eagle Ford Group or How did ...
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3D Volume

Using Self-Organizing Maps to Define Seismic Facies

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Using multiple attributes to evaluate a 3D volume in offshore South America containing unexpected high pressure zone and the application ...
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Visualization of reservoirs 10

Visualization and Characterization of Paleozoic (Ordovician-Devonian) Tight Carbonate Reservoirs, Oklahoma, Part 1

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Part 1 of a 2-part Paradise Application Brief series demonstrating better well planning, identifying more productive perforation intervals and aiding ...
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Visualization of tight carbonate reservoirs

Visualization and Characterization of Paleozoic (Ordovician-Devonian) Tight Carbonate Reservoirs, Oklahoma, Part 2

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Part 2 of a 2-part Paradise Application Brief series applying multiple seismic attributes to enable easy high-grading of leaseholds, asses ...
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2D Color Map

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

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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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seismic interpretation in the eagle ford, part 2 -01

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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Seismic Interpretation of the Eagle Ford

Resolution of Faults in the Eagle Ford, Part 3

Geophysical Insights
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Applying Principal Component Analysis (PCA) and Self-Organizing Map (SOM) process to show faults on the base amplitude seismic survey and ...
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