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
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.
- Research Organization:
- DOE Geothermal Data Repository; Nevada Bureau of Mines and Geology
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
- Contributing Organization:
- Nevada Bureau of Mines and Geology
- DOE Contract Number:
- EE0008762
- OSTI ID:
- 1897035
- Report Number(s):
- 1402
- Availability:
- GDRHelp@ee.doe.gov
- Country of Publication:
- United States
- Language:
- English
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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