Potential structures - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
Abstract
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.
- Authors:
- Publication Date:
- Other Number(s):
- 1353
- DOE Contract Number:
- EE0008762
- Research Org.:
- USDOE Geothermal Data Repository (United States); Nevada Bureau of Mines and Geology
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
- Collaborations:
- Nevada Bureau of Mines and Geology
- Subject:
- 15 Geothermal Energy
- 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; raster
- Geolocation:
- 41.173903722117,-114.6079671875|38.634254144401,-114.6079671875|38.634254144401,-119.5627|41.173903722117,-119.5627|41.173903722117,-114.6079671875
- OSTI Identifier:
- 1832125
- DOI:
- https://doi.org/10.15121/1832125
- Project Location:
-
Citation Formats
Faulds, James, and Coolbaugh, Mark. Potential structures - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada. United States: N. p., 2021.
Web. doi:10.15121/1832125.
Faulds, James, & Coolbaugh, Mark. Potential structures - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada. United States. doi:https://doi.org/10.15121/1832125
Faulds, James, and Coolbaugh, Mark. 2021.
"Potential structures - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada". United States. doi:https://doi.org/10.15121/1832125. https://www.osti.gov/servlets/purl/1832125. Pub date:Sat Feb 20 00:00:00 EST 2021
@article{osti_1832125,
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.},
doi = {10.15121/1832125},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Feb 20 00:00:00 EST 2021},
month = {Sat Feb 20 00:00:00 EST 2021}
}
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