USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Publicly accessible License 

This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project, with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geophysics, heat flow, and fault dilation and slip tendencies) that cover a large portion of northern Nevada. The geophysics data include map surfaces related to gravity and magnetic data, and line and point data derived from those surfaces. Heat flow data include an interpolated map of heat flow in mW/m^2, an error surface, and well data used to construct them. The dilation and slip tendency information exist as attributes assigned to each line segment of mapped faults and geophysical lineaments.

GDR submission contains link to official USGS data release. Additional metadata available on source DOI page.

Citation Formats

TY - DATA AB - This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project, with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geophysics, heat flow, and fault dilation and slip tendencies) that cover a large portion of northern Nevada. The geophysics data include map surfaces related to gravity and magnetic data, and line and point data derived from those surfaces. Heat flow data include an interpolated map of heat flow in mW/m^2, an error surface, and well data used to construct them. The dilation and slip tendency information exist as attributes assigned to each line segment of mapped faults and geophysical lineaments. GDR submission contains link to official USGS data release. Additional metadata available on source DOI page. AU - DeAngelo, Jacob A2 - Glen, Jonathan A3 - Siler, Drew A4 - Faulds, James A5 - Coolbaugh, Mark A6 - Earney, Tait A7 - Dean, Branden A8 - Zielinski, Laurie A9 - Ritzinger, Brent DB - Geothermal Data Repository DP - Open EI | National Renewable Energy Laboratory DO - KW - geothermal KW - energy KW - geophisics KW - Nevada KW - Slip KW - Dilation KW - Heat Flow KW - gravity KW - magnetics KW - faults KW - geotiffs KW - machine learning KW - exploration KW - characterization KW - hydrothermal KW - great basin KW - geophysics KW - pfa LA - English DA - 2021/06/01 PY - 2021 PB - Nevada Bureau of Mines and Geology T1 - USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada UR - https://gdr.openei.org/submissions/1349 ER -
Export Citation to RIS
DeAngelo, Jacob, et al. USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada . Nevada Bureau of Mines and Geology, 1 June, 2021, Geothermal Data Repository. https://gdr.openei.org/submissions/1349.
DeAngelo, J., Glen, J., Siler, D., Faulds, J., Coolbaugh, M., Earney, T., Dean, B., Zielinski, L., & Ritzinger, B. (2021). USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada . [Data set]. Geothermal Data Repository. Nevada Bureau of Mines and Geology. https://gdr.openei.org/submissions/1349
DeAngelo, Jacob, Jonathan Glen, Drew Siler, James Faulds, Mark Coolbaugh, Tait Earney, Branden Dean, Laurie Zielinski, and Brent Ritzinger. USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada . Nevada Bureau of Mines and Geology, June, 1, 2021. Distributed by Geothermal Data Repository. https://gdr.openei.org/submissions/1349
@misc{GDR_Dataset_1349, title = {USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada }, author = {DeAngelo, Jacob and Glen, Jonathan and Siler, Drew and Faulds, James and Coolbaugh, Mark and Earney, Tait and Dean, Branden and Zielinski, Laurie and Ritzinger, Brent}, abstractNote = {This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project, with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geophysics, heat flow, and fault dilation and slip tendencies) that cover a large portion of northern Nevada. The geophysics data include map surfaces related to gravity and magnetic data, and line and point data derived from those surfaces. Heat flow data include an interpolated map of heat flow in mW/m^2, an error surface, and well data used to construct them. The dilation and slip tendency information exist as attributes assigned to each line segment of mapped faults and geophysical lineaments.

GDR submission contains link to official USGS data release. Additional metadata available on source DOI page.}, url = {https://gdr.openei.org/submissions/1349}, year = {2021}, howpublished = {Geothermal Data Repository, Nevada Bureau of Mines and Geology, https://gdr.openei.org/submissions/1349}, note = {Accessed: 2025-04-24} }

Details

Data from Jun 1, 2021

Last updated Oct 7, 2022

Submitted Aug 22, 2022

Organization

Nevada Bureau of Mines and Geology

Contact

James Faulds

775.682.8751

Authors

Jacob DeAngelo

USGS

Jonathan Glen

USGS

Drew Siler

USGS

James Faulds

Nevada Bureau of Mines and Geology

Mark Coolbaugh

Nevada Bureau of Mines and Geology

Tait Earney

USGS

Branden Dean

USGS

Laurie Zielinski

USGS

Brent Ritzinger

USGS

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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