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 - Open Energy Data Initiative (OEDI)
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://data.openei.org/submissions/8677
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, GDR. 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]. GDR. 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 GDR. https://gdr.openei.org/submissions/1837
@misc{OEDI_Dataset_8677,
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 = {GDR, The University of Texas at Austin, https://gdr.openei.org/submissions/1837},
note = {Accessed: 2026-07-05}
}
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
Original Source
https://gdr.openei.org/submissions/1837Research Areas
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
