Utah FORGE 2-2404: The University of Oklahoma, Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE - Final Report
This final report summarizes the work done on Utah FORGE project 2-2404. The project aimed to develop a methodology integrating alternative well bore and core-based methods and reservoir-scale focal mechanisms (FM) to better estimate the reservoir stress at FORGE. The project objectives were to apply anelastic strain recovery, differential strain curve analysis, fracture mechanics analysis of drilling-induced cracks and combined them with other wellbore-based sources of stress data available from FORGE (DFIT, flowback, image logs of injection intervals, injection pressure record) to better estimate the near- wellbore stress distribution. Then, the resulting stress field would be inverted together with the reservoir-scale in-situ stress data obtained from a novel interpretation of focal mechanisms to characterize the stress and pore pressure distribution within the reservoir. Integrating these multiple sources of stress data would yield a more reliable estimate of the stress state at the km-scale for use in different FORGE reservoir development activities. The developed methodology can readily be applied to future EGS projects.
Citation Formats
TY - DATA
AB - This final report summarizes the work done on Utah FORGE project 2-2404. The project aimed to develop a methodology integrating alternative well bore and core-based methods and reservoir-scale focal mechanisms (FM) to better estimate the reservoir stress at FORGE. The project objectives were to apply anelastic strain recovery, differential strain curve analysis, fracture mechanics analysis of drilling-induced cracks and combined them with other wellbore-based sources of stress data available from FORGE (DFIT, flowback, image logs of injection intervals, injection pressure record) to better estimate the near- wellbore stress distribution. Then, the resulting stress field would be inverted together with the reservoir-scale in-situ stress data obtained from a novel interpretation of focal mechanisms to characterize the stress and pore pressure distribution within the reservoir. Integrating these multiple sources of stress data would yield a more reliable estimate of the stress state at the km-scale for use in different FORGE reservoir development activities. The developed methodology can readily be applied to future EGS projects.
AU - Ghassemi, Ahmad
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 - well bore
KW - core-based
KW - focal mechanisms
KW - reservoir stress
KW - final report
KW - technical report
KW - anelastic strain recovery
KW - differential strain curve
KW - fracture mechanics
KW - drilling-induced cracks
KW - near-wellbore stress
LA - English
DA - 2025/06/30
PY - 2025
PB - The University of Oklahoma
T1 - Utah FORGE 2-2404: The University of Oklahoma, Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE - Final Report
UR - https://data.openei.org/submissions/8611
ER -
Ghassemi, Ahmad. Utah FORGE 2-2404: The University of Oklahoma, Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE - Final Report. The University of Oklahoma, 30 June, 2025, GDR. https://gdr.openei.org/submissions/1811.
Ghassemi, A. (2025). Utah FORGE 2-2404: The University of Oklahoma, Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE - Final Report. [Data set]. GDR. The University of Oklahoma. https://gdr.openei.org/submissions/1811
Ghassemi, Ahmad. Utah FORGE 2-2404: The University of Oklahoma, Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE - Final Report. The University of Oklahoma, June, 30, 2025. Distributed by GDR. https://gdr.openei.org/submissions/1811
@misc{OEDI_Dataset_8611,
title = {Utah FORGE 2-2404: The University of Oklahoma, Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE - Final Report},
author = {Ghassemi, Ahmad},
abstractNote = {This final report summarizes the work done on Utah FORGE project 2-2404. The project aimed to develop a methodology integrating alternative well bore and core-based methods and reservoir-scale focal mechanisms (FM) to better estimate the reservoir stress at FORGE. The project objectives were to apply anelastic strain recovery, differential strain curve analysis, fracture mechanics analysis of drilling-induced cracks and combined them with other wellbore-based sources of stress data available from FORGE (DFIT, flowback, image logs of injection intervals, injection pressure record) to better estimate the near- wellbore stress distribution. Then, the resulting stress field would be inverted together with the reservoir-scale in-situ stress data obtained from a novel interpretation of focal mechanisms to characterize the stress and pore pressure distribution within the reservoir. Integrating these multiple sources of stress data would yield a more reliable estimate of the stress state at the km-scale for use in different FORGE reservoir development activities. The developed methodology can readily be applied to future EGS projects.},
url = {https://gdr.openei.org/submissions/1811},
year = {2025},
howpublished = {GDR, The University of Oklahoma, https://gdr.openei.org/submissions/1811},
note = {Accessed: 2026-01-25}
}
Details
Data from Jun 30, 2025
Last updated Jan 23, 2026
Submitted Jan 22, 2026
Organization
The University of Oklahoma
Contact
Ahmad Ghassemi
Authors
Original Source
https://gdr.openei.org/submissions/1811Research Areas
Keywords
geothermal, energy, Utah FORGE, EGS, well bore, core-based, focal mechanisms, reservoir stress, final report, technical report, anelastic strain recovery, differential strain curve, fracture mechanics, drilling-induced cracks, near-wellbore stressDOE Project Details
Project Name Utah FORGE
Project Lead Lauren Boyd
Project Number EE0007080

