Potential structures - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
This submission contains shapefiles, geotiffs, and symbology for the revised-from-Play-Fairway potential structures/structural settings used in the Nevada Geothermal Machine Learning project. Layers include potential structural setting ellipses, centroids, and distance-to-centroid raster.
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 shapefiles, geotiffs, and symbology for the revised-from-Play-Fairway potential structures/structural settings used in the Nevada Geothermal Machine Learning project. Layers include potential structural setting ellipses, centroids, and distance-to-centroid raster.
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 - Coolbaugh, Mark
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1832125
KW - geothermal
KW - energy
KW - Nevada
KW - Machine Learning
KW - Structure
KW - Potential Structures
KW - Structural Setting
KW - Accommodation Zone
KW - Displacement Transfer Zone
KW - Fault Bend
KW - Fault Intersection
KW - Fault Termination
KW - Pull Apart
KW - Stepover
KW - geospatial data
KW - geospatial
KW - data
KW - code
KW - ellipses
KW - centroids
KW - distance to centroid
KW - gis
KW - raster
LA - English
DA - 2021/02/20
PY - 2021
PB - Nevada Bureau of Mines and Geology
T1 - Potential structures - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
UR - https://doi.org/10.15121/1832125
ER -
Faulds, James, and Mark Coolbaugh. Potential structures - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada. Nevada Bureau of Mines and Geology, 20 February, 2021, GDR. https://doi.org/10.15121/1832125.
Faulds, J., & Coolbaugh, M. (2021). Potential structures - 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/10.15121/1832125
Faulds, James and Mark Coolbaugh. Potential structures - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada. Nevada Bureau of Mines and Geology, February, 20, 2021. Distributed by GDR. https://doi.org/10.15121/1832125
@misc{OEDI_Dataset_7467,
title = {Potential structures - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada},
author = {Faulds, James and Coolbaugh, Mark},
abstractNote = {This submission contains shapefiles, geotiffs, and symbology for the revised-from-Play-Fairway potential structures/structural settings used in the Nevada Geothermal Machine Learning project. Layers include potential structural setting ellipses, centroids, and distance-to-centroid raster.
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/1353},
year = {2021},
howpublished = {GDR, Nevada Bureau of Mines and Geology, https://doi.org/10.15121/1832125},
note = {Accessed: 2025-07-06},
doi = {10.15121/1832125}
}
https://dx.doi.org/10.15121/1832125
Details
Data from Feb 20, 2021
Last updated Feb 9, 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/1353Research Areas
Keywords
geothermal, energy, Nevada, Machine Learning, Structure, Potential Structures, Structural Setting, Accommodation Zone, Displacement Transfer Zone, Fault Bend, Fault Intersection, Fault Termination, Pull Apart, Stepover, geospatial data, geospatial, data, code, ellipses, centroids, distance to centroid, gis, rasterDOE 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
