Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence

Dataset · Tue Apr 27 00:00:00 EDT 2021

DOI:https://doi.org/10.15121/1797282· OSTI ID:1797282

Moraga, Jim ; Cavur, Mahmut ; Soydan, Hilal ; Duzgun, H. Sebnem ; Jin, Ge

These files contain the geodatabases related to the Desert Peak Geothermal Field. It includes all input and output files used in the project. The files include data categories of raw data, pre-processed data, and analysis (post-processed data). In each of these categories there are six additional types of raster catalogs including Radar, SWIR, Thermal, Geophysics, Geology, and Wells. The files for the Desert Peak Geothermal Site are used with the Geothermal Exploration Artificial Intelligence to identify indicators of blind geothermal systems. 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 Desert Peak Geothermal Field.

• Research Organization: USDOE Geothermal Data Repository (United States); Colorado School of Mines, Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
• Contributing Organization: Colorado School of Mines
• DOE Contract Number: EE0008760
• OSTI ID: 1797282
• Report Number(s): 1305
• Availability: [e-mail]
• Country of Publication: United States
• Language: English

Related Subjects

15 Geothermal Energy
geothermal
energy
geodatabase
Nevada
Desert Peak
artificial intelligence
AI
raw data
processed data
remote sensing
hyperspectral
machine learning
deep learning
exploration
ArcGIS
model
site detection
anomaly detection
geothermal site detection
database
hydrothermal
geophysics
radar
short wavelength infrared
SWIR
Support Vector Machine
SVM
land surface temperature
LST
well
GIS
blind
blind system
hyperspectral imaging
geophysical
deformation
conceptual model
fault
preprocessed
geospatial data