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

Brown, Steve; Smith, Connor

doi:10.15121/1897035

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

Dataset
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Abstract

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.

Authors:

Brown, Steve; Smith, Connor

Nevada Bureau of Mines and Geology

Publication Date:: Thu Jun 30 00:00:00 EDT 2022

Other Number(s):: 1402

DOE Contract Number:: EE0008762

Research Org.:: DOE Geothermal Data Repository; Nevada Bureau of Mines and Geology

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)

Collaborations:: Nevada Bureau of Mines and Geology

Subject:: 15 GEOTHERMAL ENERGY; 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

OSTI Identifier:: 1897035

DOI:: https://doi.org/10.15121/1897035

Citation Formats


                    Brown, Steve, and Smith, Connor. Python Codebase and Jupyter Notebooks - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada.  United States: N. p., 2022. 
        Web.  doi:10.15121/1897035.

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                    Brown, Steve, & Smith, Connor. Python Codebase and Jupyter Notebooks - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada.  United States.  doi:https://doi.org/10.15121/1897035

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                    Brown, Steve, and Smith, Connor. 2022.  
"Python Codebase and Jupyter Notebooks - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada".  United States.  doi:https://doi.org/10.15121/1897035.  https://www.osti.gov/servlets/purl/1897035. Pub date:Thu Jun 30 00:00:00 EDT 2022

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@article{osti_1897035,

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

  author       = {Brown, Steve and Smith, Connor},

  abstractNote = {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.},

  doi          = {10.15121/1897035},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Jun 30 00:00:00 EDT 2022},

  month        = {Thu Jun 30 00:00:00 EDT 2022}

}

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DOI: https://doi.org/10.15121/1897035

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