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Utah FORGE 4-2492: Final Report and Presentation on Innovative Stimulation Design and Fiber-Optic Diagnostics to Maximize Energy Recovery Efficiency

This dataset contains the final technical report and closeout presentation for Utah FORGE Project 4-2492, which investigated advanced stimulation design and diagnostic approaches to improve fracture uniformity, inter-well connectivity, and energy recovery efficiency in enhanced ge...

Sharma, M. The University of Texas at Austin

Dec 31, 2025
2 Resources
0 Stars
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Bradys Hot Springs Geothermal Area Build FEM Configuration

This submission contains mesh information, nodal coordinates, connectivity data, and list of query points for the build FEM configuration.

Ali, T. University of Wisconsin

Jul 01, 2015
7 Resources
0 Stars
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Utah FORGE 4-2492: Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery 2025 Workshop Presentation

This is a presentation and materials on the Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery Efficiency at the Utah FORGE Site project by The University of Texas at Austin, presented by Professor Mukul M. Sharma. The project's objectives w...

Sharma, M. The University of Texas at Austin

Sep 18, 2025
3 Resources
0 Stars
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Utah FORGE 3-2417: DAS Microseismic Event Catalog from the 16A/16B Circulation Test, 2023

This preliminary data archive includes the relocated microseismic event catalog, 1D velocity model, and methods report from DAS acquisition conducted during the Well 16A and 16B circulation test (July 19th and 20th, 2023) at Utah FORGE. The methods report describes all processing ...

Vera Rodriguez, I. et al Rice University

Jun 12, 2024
5 Resources
0 Stars
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Utah FORGE 3-2417: Simulations for Distributed Acoustic Sensing Strain Signatures as an Indicator of Fracture Connectivity

This dataset encompasses simulations of strain signatures from both hydraulically connected and "near-miss" fractures in enhanced geothermal systems (EGS). The files and results are presented from the perspective of digital acoustic sensing's (DAS) potential to differentiate the t...

Ward-Baranyay, M. et al Rice University

Jan 01, 2023
4 Resources
0 Stars
Publicly accessible