Python Codebase and Jupyter Notebooks - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
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.
Citation Formats
TY - DATA
AB - 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.
AU - Brown, Steve
A2 - Smith, Connor
DB - Geothermal Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1897035
KW - geothermal
KW - energy
KW - machine learning
KW - Nevada
KW - python
KW - jupyter
KW - git
KW - code
KW - algorithm
KW - model
KW - pytorch
KW - pandas
KW - script
KW - geotiff
KW - bayesian neural network
KW - artificial neural network
KW - pca
KW - nmfk
KW - bnn
KW - ann
KW - principal component analysis
KW - non-negative matrix factorization
KW - PFA
KW - exploration
KW - charaterization
KW - jupyter notebook
KW - Great Basin
KW - results
KW - data
KW - documentation
LA - English
DA - 2022/06/30
PY - 2022
PB - Nevada Bureau of Mines and Geology
T1 - Python Codebase and Jupyter Notebooks - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
UR - https://doi.org/10.15121/1897035
ER -
Brown, Steve, and Connor Smith. Python Codebase and Jupyter Notebooks - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada. Nevada Bureau of Mines and Geology, 30 June, 2022, Geothermal Data Repository. https://doi.org/10.15121/1897035.
Brown, S., & Smith, C. (2022). Python Codebase and Jupyter Notebooks - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada. [Data set]. Geothermal Data Repository. Nevada Bureau of Mines and Geology. https://doi.org/10.15121/1897035
Brown, Steve and Connor Smith. Python Codebase and Jupyter Notebooks - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada. Nevada Bureau of Mines and Geology, June, 30, 2022. Distributed by Geothermal Data Repository. https://doi.org/10.15121/1897035
@misc{GDR_Dataset_1402,
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.},
url = {https://gdr.openei.org/submissions/1402},
year = {2022},
howpublished = {Geothermal Data Repository, Nevada Bureau of Mines and Geology, https://doi.org/10.15121/1897035},
note = {Accessed: 2025-04-22},
doi = {10.15121/1897035}
}
https://dx.doi.org/10.15121/1897035
Details
Data from Jun 30, 2022
Last updated Nov 7, 2022
Submitted Aug 24, 2022
Organization
Nevada Bureau of Mines and Geology
Contact
Elijah Mlawsky
775.682.9010
Authors
Keywords
geothermal, energy, machine learning, Nevada, python, jupyter, git, code, algorithm, model, pytorch, pandas, script, geotiff, bayesian neural network, artificial neural network, pca, nmfk, bnn, ann, principal component analysis, non-negative matrix factorization, PFA, exploration, charaterization, jupyter notebook, Great Basin, results, data, documentationDOE Project Details
Project Name Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
Project Lead Mike Weathers
Project Number EE0008762
