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

Publicly accessible License 

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.
Export Citation to RIS
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_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, 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

Steve Brown

Aprovechar Lab L3C

Connor Smith

Nevada Bureau of Mines and Geology

DOE 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

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