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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
Utah FORGE: Neubrex Well 16B(78)-32 DAS Data April 2024
This dataset contains Distributed Acoustic Sensing (DAS) data acquired from Utah FORGE monitoring well 16B(78)-32, also known as the producer well, during hydraulic fracture stimulation operations in April 2024. The data was collected continuously throughout the stimulation period...
Jurick, D. et al Neubrex Energy Services (US), LLC
Oct 01, 2024
3 Resources
0 Stars
In progress
3 Resources
0 Stars
In progress
Utah FORGE: Discrete Fracture Network (DFN) 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. and Podgorney, R. Golder Associates Inc.
Jun 24, 2020
66 Resources
0 Stars
Publicly accessible
66 Resources
0 Stars
Publicly accessible