Far-Field Stress Predictions for Utah FORGE Well 16B(78)-32 Under Thermal and Pore Pressure Variations

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Report documenting completion of Milestones 4.2.2 and 4.3.1 of Utah FORGE Project 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress at the U.S. DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement

We report (1) the far-field stress predictions at five locations along the inclined section of well 16B(78)-32 using the physics-based thermo-poro-mechanical model, fulfilling Milestone 4.2.2; and (2) stress profiles along the entire inclined section of the well under various drilling and pre-cooling scenarios, fulfilling Milestone 4.3.1.

Citation Formats

TY - DATA AB - Report documenting completion of Milestones 4.2.2 and 4.3.1 of Utah FORGE Project 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress at the U.S. DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement We report (1) the far-field stress predictions at five locations along the inclined section of well 16B(78)-32 using the physics-based thermo-poro-mechanical model, fulfilling Milestone 4.2.2; and (2) stress profiles along the entire inclined section of the well under various drilling and pre-cooling scenarios, fulfilling Milestone 4.3.1. AU - Lu, Guanyi A2 - Mustafa, Ayyaz A3 - Bunger, Andrew DB - Geothermal Data Repository DP - Open EI | National Renewable Energy Laboratory DO - KW - geothermal KW - energy KW - Utah KW - 16B78-32 KW - In-Situ Stress LA - English DA - 2025/06/05 PY - 2025 PB - University of Pittsburgh - Pittsburgh, PA T1 - Far-Field Stress Predictions for Utah FORGE Well 16B(78)-32 Under Thermal and Pore Pressure Variations UR - https://gdr.openei.org/submissions/1742 ER -
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Lu, Guanyi, et al. Far-Field Stress Predictions for Utah FORGE Well 16B(78)-32 Under Thermal and Pore Pressure Variations . University of Pittsburgh - Pittsburgh, PA, 5 June, 2025, Geothermal Data Repository. https://gdr.openei.org/submissions/1742.
Lu, G., Mustafa, A., & Bunger, A. (2025). Far-Field Stress Predictions for Utah FORGE Well 16B(78)-32 Under Thermal and Pore Pressure Variations . [Data set]. Geothermal Data Repository. University of Pittsburgh - Pittsburgh, PA. https://gdr.openei.org/submissions/1742
Lu, Guanyi, Ayyaz Mustafa, and Andrew Bunger. Far-Field Stress Predictions for Utah FORGE Well 16B(78)-32 Under Thermal and Pore Pressure Variations . University of Pittsburgh - Pittsburgh, PA, June, 5, 2025. Distributed by Geothermal Data Repository. https://gdr.openei.org/submissions/1742
@misc{GDR_Dataset_1742, title = {Far-Field Stress Predictions for Utah FORGE Well 16B(78)-32 Under Thermal and Pore Pressure Variations }, author = {Lu, Guanyi and Mustafa, Ayyaz and Bunger, Andrew}, abstractNote = {Report documenting completion of Milestones 4.2.2 and 4.3.1 of Utah FORGE Project 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress at the U.S. DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement

We report (1) the far-field stress predictions at five locations along the inclined section of well 16B(78)-32 using the physics-based thermo-poro-mechanical model, fulfilling Milestone 4.2.2; and (2) stress profiles along the entire inclined section of the well under various drilling and pre-cooling scenarios, fulfilling Milestone 4.3.1.}, url = {https://gdr.openei.org/submissions/1742}, year = {2025}, howpublished = {Geothermal Data Repository, University of Pittsburgh - Pittsburgh, PA, https://gdr.openei.org/submissions/1742}, note = {Accessed: 2025-06-06} }

Details

Data from Jun 5, 2025

Last updated Jun 5, 2025

Submitted Jun 5, 2025

Organization

University of Pittsburgh - Pittsburgh, PA

Contact

Andrew Bunger

412.624.9875

Authors

Guanyi Lu

University of Pittsburgh - Pittsburgh PA

Ayyaz Mustafa

University of Pittsburgh - Pittsburgh PA

Andrew Bunger

University of Pittsburgh - Pittsburgh PA

DOE Project Details

Project Name A Multi-Component Approach to Characterizing In-Situ Stress at the U.S. DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement

Project Lead Lauren Boyd

Project Number EE0007080

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