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 geothermal systems. The report documents field stimulation and circulation experiments in wells 16A and 16B, integration of distributed fiber-optic sensing (DTS, DAS, and distributed strain), numerical modeling of fracture growth and fluid flow, and the combined use of tracer, FMI, and fiber-optic data to characterize fracture geometry, conductivity, and connectivity. Results provide guidance for improving completion and stimulation strategies for future high-temperature EGS well pairs at Utah FORGE.
Citation Formats
TY - DATA
AB - 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 geothermal systems. The report documents field stimulation and circulation experiments in wells 16A and 16B, integration of distributed fiber-optic sensing (DTS, DAS, and distributed strain), numerical modeling of fracture growth and fluid flow, and the combined use of tracer, FMI, and fiber-optic data to characterize fracture geometry, conductivity, and connectivity. Results provide guidance for improving completion and stimulation strategies for future high-temperature EGS well pairs at Utah FORGE.
AU - Sharma, Mukul
DB - Geothermal Data Repository
DP - Open EI | National Laboratory of the Rockies
DO -
KW - geothermal
KW - energy
KW - Utah FORGE
KW - EGS
KW - stimulation design
KW - fracture uniformity
KW - well connectivity
KW - energy recovery efficiency
KW - technical report
KW - stimulation
KW - circulation test
KW - 16A
KW - 16B
KW - distributed fiber-optic sensing
KW - DTS
KW - DAS
KW - distributed strain
KW - numerical modeling
KW - fracture growth
KW - FMI
KW - tracer
KW - fracture geometry
KW - geomechanics
KW - geophysics
LA - English
DA - 2025/12/31
PY - 2025
PB - The University of Texas at Austin
T1 - Utah FORGE 4-2492: Final Report and Presentation on Innovative Stimulation Design and Fiber-Optic Diagnostics to Maximize Energy Recovery Efficiency
UR - https://gdr.openei.org/submissions/1837
ER -
Sharma, Mukul. Utah FORGE 4-2492: Final Report and Presentation on Innovative Stimulation Design and Fiber-Optic Diagnostics to Maximize Energy Recovery Efficiency. The University of Texas at Austin, 31 December, 2025, Geothermal Data Repository. https://gdr.openei.org/submissions/1837.
Sharma, M. (2025). Utah FORGE 4-2492: Final Report and Presentation on Innovative Stimulation Design and Fiber-Optic Diagnostics to Maximize Energy Recovery Efficiency. [Data set]. Geothermal Data Repository. The University of Texas at Austin. https://gdr.openei.org/submissions/1837
Sharma, Mukul. Utah FORGE 4-2492: Final Report and Presentation on Innovative Stimulation Design and Fiber-Optic Diagnostics to Maximize Energy Recovery Efficiency. The University of Texas at Austin, December, 31, 2025. Distributed by Geothermal Data Repository. https://gdr.openei.org/submissions/1837
@misc{GDR_Dataset_1837,
title = {Utah FORGE 4-2492: Final Report and Presentation on Innovative Stimulation Design and Fiber-Optic Diagnostics to Maximize Energy Recovery Efficiency},
author = {Sharma, Mukul},
abstractNote = {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 geothermal systems. The report documents field stimulation and circulation experiments in wells 16A and 16B, integration of distributed fiber-optic sensing (DTS, DAS, and distributed strain), numerical modeling of fracture growth and fluid flow, and the combined use of tracer, FMI, and fiber-optic data to characterize fracture geometry, conductivity, and connectivity. Results provide guidance for improving completion and stimulation strategies for future high-temperature EGS well pairs at Utah FORGE.},
url = {https://gdr.openei.org/submissions/1837},
year = {2025},
howpublished = {Geothermal Data Repository, The University of Texas at Austin, https://gdr.openei.org/submissions/1837},
note = {Accessed: 2026-07-27}
}
Details
Data from Dec 31, 2025
Last updated Apr 27, 2026
Submitted Apr 23, 2026
Organization
The University of Texas at Austin
Contact
Mukul Sharma
Authors
Keywords
geothermal, energy, Utah FORGE, EGS, stimulation design, fracture uniformity, well connectivity, energy recovery efficiency, technical report, stimulation, circulation test, 16A, 16B, distributed fiber-optic sensing, DTS, DAS, distributed strain, numerical modeling, fracture growth, FMI, tracer, fracture geometry, geomechanics, geophysicsDOE Project Details
Project Name Utah FORGE
Project Lead Lauren Boyd
Project Number EE0007080
