Utah FORGE: Native State Numerical Model - 2025 Update
This dataset contains a three-dimensional native-state numerical model of the Utah FORGE site, updated in 2025, representing thermal, hydraulic, and stress conditions within the granitic reservoir and overlying sedimentary formations. The model domain extends 6 km by 6 km laterally and 4.5 km vertically, encompassing the granitic reservoir and overlying sedimentary formations. Mesh refinement has been implemented in the well field region to improve resolution of thermal-hydraulic gradients near injection and production intervals.
Temperature calibration incorporates updated thermal gradient measurements from multiple wellbores, with particular attention to convective effects in the fractured granite reservoir. The model demonstrates strong agreement with observed downhole temperature profiles. Pressure boundary conditions have been refined based on recent shut-in pressure measurements and hydraulic monitoring data. In-situ stress parameters have been updated to better represent observed geometrically induced anisotropic stress state and its variation with depth, which is critical for predicting fracture orientation during stimulation operations. Key model parameters including rock thermal conductivity, permeability of both fractures and the surrounding reservoir, and bulk reservoir porosity have been recalibrated using circulation test data from 2024. This updated baseline model provides an improved foundation for simulating enhanced geothermal system development at the Utah FORGE site.
Citation Formats
TY - DATA
AB - This dataset contains a three-dimensional native-state numerical model of the Utah FORGE site, updated in 2025, representing thermal, hydraulic, and stress conditions within the granitic reservoir and overlying sedimentary formations. The model domain extends 6 km by 6 km laterally and 4.5 km vertically, encompassing the granitic reservoir and overlying sedimentary formations. Mesh refinement has been implemented in the well field region to improve resolution of thermal-hydraulic gradients near injection and production intervals.
Temperature calibration incorporates updated thermal gradient measurements from multiple wellbores, with particular attention to convective effects in the fractured granite reservoir. The model demonstrates strong agreement with observed downhole temperature profiles. Pressure boundary conditions have been refined based on recent shut-in pressure measurements and hydraulic monitoring data. In-situ stress parameters have been updated to better represent observed geometrically induced anisotropic stress state and its variation with depth, which is critical for predicting fracture orientation during stimulation operations. Key model parameters including rock thermal conductivity, permeability of both fractures and the surrounding reservoir, and bulk reservoir porosity have been recalibrated using circulation test data from 2024. This updated baseline model provides an improved foundation for simulating enhanced geothermal system development at the Utah FORGE site.
AU - Vazic, Bozo
A2 - Munday, Lynn B.
A3 - Yang, Ming
A4 - Podgorney, Robert K.
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Laboratory of the Rockies
DO -
KW - geothermal
KW - energy
KW - FORGE
KW - native state model
KW - Utah FORGE
KW - EGS
KW - numerical simulation
KW - geothermal reservoir
KW - thermal-hydraulic modeling
KW - in-situ stress
KW - granitic reservoir
KW - MOOSE
KW - subsurface temperature
KW - pore pressure
KW - mesh
LA - English
DA - 2026/01/30
PY - 2026
PB - Idaho National Laboratory
T1 - Utah FORGE: Native State Numerical Model - 2025 Update
UR - https://data.openei.org/submissions/8618
ER -
Vazic, Bozo, et al. Utah FORGE: Native State Numerical Model - 2025 Update. Idaho National Laboratory, 30 January, 2026, GDR. https://gdr.openei.org/submissions/1812.
Vazic, B., Munday, L., Yang, M., & Podgorney, R. (2026). Utah FORGE: Native State Numerical Model - 2025 Update. [Data set]. GDR. Idaho National Laboratory. https://gdr.openei.org/submissions/1812
Vazic, Bozo, Lynn B. Munday, Ming Yang, and Robert K. Podgorney. Utah FORGE: Native State Numerical Model - 2025 Update. Idaho National Laboratory, January, 30, 2026. Distributed by GDR. https://gdr.openei.org/submissions/1812
@misc{OEDI_Dataset_8618,
title = {Utah FORGE: Native State Numerical Model - 2025 Update},
author = {Vazic, Bozo and Munday, Lynn B. and Yang, Ming and Podgorney, Robert K.},
abstractNote = {This dataset contains a three-dimensional native-state numerical model of the Utah FORGE site, updated in 2025, representing thermal, hydraulic, and stress conditions within the granitic reservoir and overlying sedimentary formations. The model domain extends 6 km by 6 km laterally and 4.5 km vertically, encompassing the granitic reservoir and overlying sedimentary formations. Mesh refinement has been implemented in the well field region to improve resolution of thermal-hydraulic gradients near injection and production intervals.
Temperature calibration incorporates updated thermal gradient measurements from multiple wellbores, with particular attention to convective effects in the fractured granite reservoir. The model demonstrates strong agreement with observed downhole temperature profiles. Pressure boundary conditions have been refined based on recent shut-in pressure measurements and hydraulic monitoring data. In-situ stress parameters have been updated to better represent observed geometrically induced anisotropic stress state and its variation with depth, which is critical for predicting fracture orientation during stimulation operations. Key model parameters including rock thermal conductivity, permeability of both fractures and the surrounding reservoir, and bulk reservoir porosity have been recalibrated using circulation test data from 2024. This updated baseline model provides an improved foundation for simulating enhanced geothermal system development at the Utah FORGE site.},
url = {https://gdr.openei.org/submissions/1812},
year = {2026},
howpublished = {GDR, Idaho National Laboratory, https://gdr.openei.org/submissions/1812},
note = {Accessed: 2026-09-07}
}
Details
Data from Jan 30, 2026
Last updated Feb 10, 2026
Submitted Feb 6, 2026
Organization
Idaho National Laboratory
Contact
Bozo Vazic
Authors
Original Source
https://gdr.openei.org/submissions/1812Research Areas
Keywords
geothermal, energy, FORGE, native state model, Utah FORGE, EGS, numerical simulation, geothermal reservoir, thermal-hydraulic modeling, in-situ stress, granitic reservoir, MOOSE, subsurface temperature, pore pressure, meshDOE Project Details
Project Name Utah FORGE
Project Lead Lauren Boyd
Project Number EE0007080

