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Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Publicly accessible License 

This submission contains the geochemistry dataset and paleo-geothermal features (sinter, travertine, tufa) (shapefiles and symbology) used in the Nevada Geothermal Machine Learning project.

A submission linking the full GitHub repository for our machine learning Jupyter Notebooks will appear in the related datasets section of this page once available.

Citation Formats

TY - DATA AB - This submission contains the geochemistry dataset and paleo-geothermal features (sinter, travertine, tufa) (shapefiles and symbology) used in the Nevada Geothermal Machine Learning project. A submission linking the full GitHub repository for our machine learning Jupyter Notebooks will appear in the related datasets section of this page once available. AU - Faulds, James A2 - Ayling, Bridget DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/1832126 KW - geothermal KW - energy KW - geochemistry KW - sinter KW - travertine KW - tufa KW - paleo-geothermal KW - Nevada KW - Machine Learning KW - geothermometry KW - Play Fairway KW - geospatial data KW - geospatial KW - code KW - geophysics KW - characterization LA - English DA - 2020/11/01 PY - 2020 PB - Nevada Bureau of Mines and Geology T1 - Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada UR - https://doi.org/10.15121/1832126 ER -
Export Citation to RIS
Faulds, James, and Bridget Ayling. Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada. Nevada Bureau of Mines and Geology, 1 November, 2020, GDR. https://doi.org/10.15121/1832126.
Faulds, J., & Ayling, B. (2020). Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada. [Data set]. GDR. Nevada Bureau of Mines and Geology. https://doi.org/10.15121/1832126
Faulds, James and Bridget Ayling. Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada. Nevada Bureau of Mines and Geology, November, 1, 2020. Distributed by GDR. https://doi.org/10.15121/1832126
@misc{OEDI_Dataset_7466, title = {Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada}, author = {Faulds, James and Ayling, Bridget}, abstractNote = {This submission contains the geochemistry dataset and paleo-geothermal features (sinter, travertine, tufa) (shapefiles and symbology) used in the Nevada Geothermal Machine Learning project.

A submission linking the full GitHub repository for our machine learning Jupyter Notebooks will appear in the related datasets section of this page once available.}, url = {https://gdr.openei.org/submissions/1352}, year = {2020}, howpublished = {GDR, Nevada Bureau of Mines and Geology, https://doi.org/10.15121/1832126}, note = {Accessed: 2025-05-05}, doi = {10.15121/1832126} }
https://dx.doi.org/10.15121/1832126

Details

Data from Nov 1, 2020

Last updated Oct 26, 2022

Submitted Nov 16, 2021

Organization

Nevada Bureau of Mines and Geology

Contact

James Faulds

775.682.8751

Authors

James Faulds

Nevada Bureau of Mines and Geology

Bridget Ayling

Nevada Bureau of Mines and Geology

Research Areas

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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