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
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 -
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: 2025-05-28},
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
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
