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Potential structures - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Publicly accessible License 

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.

Potential Structures Centroids 2021.zip

Shapefile containing centroids of potential structures used to derive input grids machine learning models for the Nevada Play Fairway study area. UTM NAD 83 zone 11.
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Potential Structures Distance to Centroid 2021.zip

Geotiff describing distance to centroid of potential structure ellipses used to derive input grids machine learning models for the Nevada Play Fairway study area. UTM N... more
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Potential Structures Ellipses 2021.zip

Shapefile containing potential structural setting ellipses (revised from NV Play Fairway) used to derive input grids machine learning models for the Nevada Play Fairway... more
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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 -
Export Citation to RIS
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: 2025-07-21}, 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

jfaulds@unr.edu

775.682.8751

Authors

James Faulds

Nevada Bureau of Mines and Geology

Mark Coolbaugh

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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