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Dixie Valley Engineered Geothermal System Exploration Methodology Project, Baseline Conceptual Model Report
The Engineered Geothermal System (EGS) Exploration Methodology Project is developing an exploration approach for EGS through the integration of geoscientific data. The Project chose the Dixie Valley Geothermal System in Nevada as a field laboratory site for methodlogy calibration...
Iovenitti, J. AltaRock Energy Inc
May 15, 2013
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Dixie Valley Engineered Geothermal System Exploration Methodology Project, Baseline Conceptual Model Report
The Engineered Geothermal System (EGS) Exploration Methodology Project is developing an exploration approach for EGS through the integration of geoscientific data. The Project chose the Dixie Valley Geothermal System in Nevada as a field laboratory site for methodlogy calibration...
Iovenitti, J. AltaRock Energy Inc
May 15, 2013
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Dixie Valley Engineered Geothermal System Exploration Methodology Project, Baseline Conceptual Model Report
The Engineered Geothermal System (EGS) Exploration Methodology Project is developing an exploration approach for EGS through the integration of geoscientific data. The Project chose the Dixie Valley Geothermal System in Nevada as a field laboratory site for methodlogy calibration...
Iovenitti, J. AltaRock Energy Inc
May 15, 2013
15 Resources
0 Stars
Publicly accessible
15 Resources
0 Stars
Publicly accessible
Dixie Valley Engineered Geothermal System Exploration Methodology Project, Baseline Conceptual Model Report
The Engineered Geothermal System (EGS) Exploration Methodology Project is developing an exploration approach for EGS through the integration of geoscientific data. The overall project area is 2500km2 with the Calibration Area (Dixie Valley Geothermal Wellfield) being about 170km2....
Iovenitti, J. AltaRock Energy Inc
Jan 02, 2014
11 Resources
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
Utah FORGE: 3D Gravity Data
These resources describe the 3D geophysical inversion modeling of gravity data at the FORGE site near Milford, Utah. FORGE is the Frontier Observatory for Research in Geothermal Energy and the site in Utah has been selected by the U.S. Dept. of Energy for a 5-year R&D program to t...
Hardwick, C. and Witter, J. Energy and Geoscience Institute at the University of Utah
Jun 24, 2019
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Utah FORGE Phase Native State FALCON Model Files
The submission includes FALCON input file and mesh for the an initial pressure-temperature simulation, and a second set for pressure-temperature-displacement simulation. All simulations are steady state. Data and input for the FORGE Phase 2 native state model were compiled from hi...
Podgorney, R. Idaho National Laboratory
Jun 06, 2019
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Utah FORGE Well 16A(78)-32 Simplified Discrete Fracture Network Data
The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 1...
Finnila, A. Golder Associates Inc.
Jun 01, 2021
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations
Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations: An Approach to Improve Energy Recovery and Mitigate Risk: FY1 Final Report
The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal ...
A., T. Lawrence Livermore National Laboratory
Jan 01, 2012
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
Appendices for Geothermal Exploration Artificial Intelligence Report
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Duzgun, H. et al Colorado School of Mines
Jan 08, 2021
12 Resources
0 Stars
Publicly accessible
12 Resources
0 Stars
Publicly accessible