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
Nevada Bureau of Mines and Geology. (2022). Python Codebase and Jupyter Notebooks - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada [data set]. Retrieved from https://dx.doi.org/10.15121/1897035.
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: N.p., 30 Jun, 2022. Web. doi: 10.15121/1897035.
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. https://dx.doi.org/10.15121/1897035
Brown, Steve, 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. https://dx.doi.org/10.15121/1897035. https://gdr.openei.org/submissions/1402.
@div{oedi_5803, 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, 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}, url = {https://gdr.openei.org/submissions/1402}, journal = {}, number = , volume = , place = {United States}, year = {2022}, month = {06}}
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
Original Source
https://gdr.openei.org/submissions/1402Research Areas
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
