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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

Nevada Bureau of Mines and Geology. (2020). Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada [data set]. Retrieved from https://dx.doi.org/10.15121/1832126.
Export Citation to RIS
Faulds, James, Ayling, Bridget. Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada. United States: N.p., 01 Nov, 2020. Web. doi: 10.15121/1832126.
Faulds, James, Ayling, Bridget. Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada. United States. https://dx.doi.org/10.15121/1832126
Faulds, James, Ayling, Bridget. 2020. "Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada". United States. https://dx.doi.org/10.15121/1832126. https://gdr.openei.org/submissions/1352.
@div{oedi_4555, 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, 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.}, doi = {10.15121/1832126}, url = {https://gdr.openei.org/submissions/1352}, journal = {}, number = , volume = , place = {United States}, year = {2020}, month = {11}}
https://dx.doi.org/10.15121/1832126

Details

Data from Nov 1, 2020

Last updated Sep 28, 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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