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Utah FORGE: Native State Numerical Model - 2025 Update

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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 -
Export Citation to RIS
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

Bozo Vazic

Idaho National Laboratory

Lynn B. Munday

Idaho National Laboratory

Ming Yang

Idaho National Laboratory

Robert K. Podgorney

Idaho National Laboratory

Research Areas

DOE Project Details

Project Name Utah FORGE

Project Lead Lauren Boyd

Project Number EE0007080

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