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.

3 Resources

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Related Datasets

Datasets associated with the same DOE project
  Submission Name Resources Submitted Status

Additional Info

DOE Project Name: Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning
DOE Project Number: EE0008760
DOE Project Lead: Mike Weathers
DOI: 10.15121/1797281
Last Updated: 10 months ago
Apr
2021
Data from April, 2021
Submitted Apr 28, 2021

Contact

Colorado School of Mines


303.273.3768

Status

Publicly accessible License 

Authors

Jim Moraga
Colorado School of Mines
Mahmut Cavur
Kadir Has Universitesi
H. Sebnem Duzgun
Colorado School of Mines
Hilal Soydan
Colorado School of Mines
Ge Jin
Colorado School of Mines

Keywords

geothermal, energy, geodatabase, Brady hot springs, Brady, artificial intelligence, AI, Brady Well, seismic, remote sensing, hyperspectral, geospatial database, deep learning, machine learning, exploration, site detection, geothermal site detection, anomaly detection, short wavelength infrared, SWIR, support vector machine, SVM, land surface temperature, LST, well, raw data, processed data, Nevada, ArcGIS, model, database, hydrothermal, geophysics, radar, GIS, blind, blind system, deformation, geophysical, hyperspectral imaging, conceptual model, fault, preprocessed, raster, vector, field data, geospatial data

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