Python Codebase and Jupyter Notebooks - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

OwnerNational Renewable Energy Laboratory (NREL) - view all

Update frequencyunknown

Last updatedabout 1 year ago

Format

ZIP

Overview

Git archive containing Python modules and resources used to generate machine-learning models used in the "Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada" project. This software is licensed as free to use, modify, and distribute with attribution. Full license details are included within the archive. See "documentation.zip" for setup instructions and file trees annotated with module descriptions.

Great Basin Nevada PFA algorithm ann artificial neural network bayesian neural network bnn charaterization code data documentation energy exploration geothermal geotiff git jupyter jupyter notebook machine learning model nmfk non-negative matrix factorization pandas pca principal component analysis python pytorch results script

Additional Information

KeyValue

dcat_issued2022-06-30T06:00:00Z

dcat_modified2022-11-07T07:37:06Z

dcat_publisher_nameNevada Bureau of Mines and Geology

guidhttps://data.openei.org/submissions/5803

ib1_trust_framework[]

language

Files

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Essentials - Python modules.zip
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Results.zip
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Documentation.zip
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Data.zip
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