U.S. Department of EnergyOffice of Scientific and Technical Information
Brady Geodatabase for Geothermal Exploration Artificial Intelligence
Abstract
These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (post-processed data). In each of these categories there are six additional types of raster catalogs which are titled Radar, SWIR, Thermal, Geophysics, Geology, and Wells. These inputs and outputs were used with the Geothermal Exploration Artificial Intelligence to identify indicators of blind geothermal systems at the Brady Hot Springs Geothermal Site. The included zip file is a geodatabase to be used with ArcGIS and the tar file is an inclusive database that encompasses the inputs and outputs for the Brady Hot Springs Geothermal Site.
- Publication Date:
- Other Number(s):
- 1304
- DOE Contract Number:
- EE0008760
- Research Org.:
- DOE Geothermal Data Repository; Colorado School of Mines
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
- Collaborations:
- Colorado School of Mines
- Subject:
- 15 GEOTHERMAL ENERGY; AI; ArcGIS; Brady; Brady Well; Brady hot springs; GIS; LST; Nevada; SVM; SWIR; anomaly detection; artificial intelligence; blind; blind system; conceptual model; database; deep learning; deformation; energy; exploration; fault; field data; geodatabase; geophysical; geophysics; geospatial data; geospatial database; geothermal; geothermal site detection; hydrothermal; hyperspectral; hyperspectral imaging; land surface temperature; machine learning; model; preprocessed; processed data; radar; raster; raw data; remote sensing; seismic; short wavelength infrared; site detection; support vector machine; vector; well
- OSTI Identifier:
- 1797281
- DOI:
- https://doi.org/10.15121/1797281
Citation Formats
Moraga, Jim, Cavur, Mahmut, Duzgun, H. Sebnem, Soydan, Hilal, and Jin, Ge. Brady Geodatabase for Geothermal Exploration Artificial Intelligence. United States: N. p., 2021.
Web. doi:10.15121/1797281.
Moraga, Jim, Cavur, Mahmut, Duzgun, H. Sebnem, Soydan, Hilal, & Jin, Ge. Brady Geodatabase for Geothermal Exploration Artificial Intelligence. United States. doi:https://doi.org/10.15121/1797281
Moraga, Jim, Cavur, Mahmut, Duzgun, H. Sebnem, Soydan, Hilal, and Jin, Ge. 2021.
"Brady Geodatabase for Geothermal Exploration Artificial Intelligence". United States. doi:https://doi.org/10.15121/1797281. https://www.osti.gov/servlets/purl/1797281. Pub date:Tue Apr 27 04:00:00 UTC 2021
@article{osti_1797281,
title = {Brady Geodatabase for Geothermal Exploration Artificial Intelligence},
author = {Moraga, Jim and Cavur, Mahmut and Duzgun, H. Sebnem and Soydan, Hilal and Jin, Ge},
abstractNote = {These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (post-processed data). In each of these categories there are six additional types of raster catalogs which are titled Radar, SWIR, Thermal, Geophysics, Geology, and Wells. These inputs and outputs were used with the Geothermal Exploration Artificial Intelligence to identify indicators of blind geothermal systems at the Brady Hot Springs Geothermal Site. The included zip file is a geodatabase to be used with ArcGIS and the tar file is an inclusive database that encompasses the inputs and outputs for the Brady Hot Springs Geothermal Site.},
doi = {10.15121/1797281},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Apr 27 04:00:00 UTC 2021},
month = {Tue Apr 27 04:00:00 UTC 2021}
}