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Systematic Workflow for Reservoir Characterization in Northwestern Colombia using Multi-attribute Classification

First Break
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A workflow is presented which includes data conditioning, finding the best combination of attributes for ML classification aided by Principal ...
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identify reservoir rock

Net Reservoir Discrimination through Multi-Attribute Analysis at Single Sample Scale

First Break
Published in the special Machine Learning edition of First Break, this paper lays out results from multi-attribute analysis using Paradise, ...
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Machine Learning Applied to 3D Seismic Data from the Denver-Julesburg Basin Improves Stratigraphic Resolution in the Niobrara

Unconventional Resources Technology Conference
In a paper presented at URTeC 2019, Geophysical Insights uses Paradise machine learning software to improve resolution the reservoir intervals ...
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The Holy Grail of Machine Learning in Seismic Interpretation

Geophysical Society of Houston (GSH)
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Dr. Tom Smith shares the "Holy Grail" of Machine Learning in Seismic Interpretation with the Geophysical Society of Houston ...
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Solving Exploration Problems with Machine Learning

First Break
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Geoscientists Deborah Sacrey and Rocky Roden solve exploration problems using Paradise, machine learning software for seismic interpretation in the June ...
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Machine Learning Terms

Geophysical Insights
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A glossary defining essential machine learning terms within the seismic interpretation and geoscience community from Principal Component Analysis (PCA) to ...
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Thin Beds and Anomaly Resolution in the Niobrara

Geophysical Insights
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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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wiggle trace seismic data

Significant Advancements in Seismic Reservoir Characterization with Machine Learning

SPE Norway
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Geophysicists, Rocky Roden & Patricia Santogrossi, discuss machine learning applications enabling refined assessment of thin beds and DHI characteristics ...
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Visualization of reservoirs 10

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

Geophysical Insights
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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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