Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
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.
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 Oct 26, 2022
Submitted Nov 16, 2021
Organization
Nevada Bureau of Mines and Geology
Contact
James Faulds
775.682.8751
Authors
Original Source
https://gdr.openei.org/submissions/1352Research Areas
Keywords
geothermal, energy, geochemistry, sinter, travertine, tufa, paleo-geothermal, Nevada, Machine Learning, geothermometry, Play Fairway, geospatial data, geospatial, code, geophysics, characterizationDOE 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