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Utah FORGE: Well 16A(78)-32 Stimulation Tracer Test Results
This archive contains data from the tracer test performed during the Utah FORGE well 16A(78)-32 stimulation. This includes:
1. the raw data file from Pason in the csv format;
2. a one-page Word document from Pason that explains the headers and units used in their data file;
3. an...
Rose, P. and Barker, B. Energy and Geoscience Institute at the University of Utah
Sep 16, 2022
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Utah FORGE: Well 58-32 Injection Test Data
This submission contains pressure and flow time series data from the reservoir testing of Well 58-32. These activities were part of the Utah FORGE Phase 2B site suitability confirmatory testing.
Podgorney, R. and McLennan, J. Idaho National Laboratory
Dec 07, 2018
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Utah FORGE: Well 58-32 Stimulation Conference Paper and Data
The U.S. Department of Energy's (U.S. DOE) Frontier Observatory for Research in Geothermal Energy (FORGE) is a field laboratory that provides a unique opportunity to develop and test new technologies for characterizing, creating and sustaining Enhanced Geothermal Systems (EGS) in ...
Best, S. Energy and Geoscience Institute at the University of Utah
Apr 24, 2019
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Utah FORGE: Well 16A(78)-32 and 16B(78)-32 Stimulation Production Logging Tests
These are production logging tests (PLT) results from Halliburton collected during the nine hour circulation test performed at Utah FORGE on April 27th, 2024. The circulation test involved injecting into well 16A(78)-32 and producing out of well 16B(78)-32) and was carried out af...
Haroun, F. Energy and Geoscience Institute at the University of Utah
Apr 27, 2024
4 Resources
1 Stars
Publicly accessible
4 Resources
1 Stars
Publicly accessible
Utah FORGE: Well 58-32 Stimulation Data
Pressure, temperature, and flow data from open-hole, upper perforation, and lower perforation well stimulations gathered from various tools collected at well 58-32 during phase 2C.
Best, S. Geothermal Resource Group
Apr 20, 2019
16 Resources
0 Stars
Publicly accessible
16 Resources
0 Stars
Publicly accessible
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Beckers, K. et al National Renewable Energy Laboratory
Oct 20, 2021
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible