Utah FORGE 2-2446: Connecting In Situ Stress and Wellbore Deviation to Near-Well Fracture Complexity using Phase-Field Simulations

Publicly accessible License 

This report presents a series of numerical experiments investigating the relationships among near-well fracture complexity, in situ stress conditions, and wellbore deviation. Using a phase-field modeling approach, the study explores how factors such as stress regimes, wellbore orientation, and thermal cooling influence fracture propagation. The dataset includes a technical report detailing the modeling approach and findings, along with a repository of GEOS modeling input files. This work was conducted as part of Utah FORGE Project 2-2446, "Closing the Loop Between In-situ Stress Complexity and EGS Fracture Complexity."

Citation Formats

TY - DATA AB - This report presents a series of numerical experiments investigating the relationships among near-well fracture complexity, in situ stress conditions, and wellbore deviation. Using a phase-field modeling approach, the study explores how factors such as stress regimes, wellbore orientation, and thermal cooling influence fracture propagation. The dataset includes a technical report detailing the modeling approach and findings, along with a repository of GEOS modeling input files. This work was conducted as part of Utah FORGE Project 2-2446, "Closing the Loop Between In-situ Stress Complexity and EGS Fracture Complexity." AU - Cusini, Matteo A2 - Fei, Fan DB - Geothermal Data Repository DP - Open EI | National Renewable Energy Laboratory DO - KW - geothermal KW - energy KW - Utah FORGE KW - phase field KW - numerical simulation KW - near wellbore fracture nucleation KW - EGS KW - near-well KW - fracture complexity KW - in situ stress KW - wellbore deviation KW - phase-field modeling KW - numerical solutions KW - fracture nucleation KW - GEOS modeling KW - stress regimes KW - fracture propagation KW - rock mechanics KW - technical report LA - English DA - 2025/01/30 PY - 2025 PB - Lawrence Livermore National Laboratory T1 - Utah FORGE 2-2446: Connecting In Situ Stress and Wellbore Deviation to Near-Well Fracture Complexity using Phase-Field Simulations UR - https://gdr.openei.org/submissions/1709 ER -
Export Citation to RIS
Cusini, Matteo, and Fan Fei. Utah FORGE 2-2446: Connecting In Situ Stress and Wellbore Deviation to Near-Well Fracture Complexity using Phase-Field Simulations. Lawrence Livermore National Laboratory, 30 January, 2025, Geothermal Data Repository. https://gdr.openei.org/submissions/1709.
Cusini, M., & Fei, F. (2025). Utah FORGE 2-2446: Connecting In Situ Stress and Wellbore Deviation to Near-Well Fracture Complexity using Phase-Field Simulations. [Data set]. Geothermal Data Repository. Lawrence Livermore National Laboratory. https://gdr.openei.org/submissions/1709
Cusini, Matteo and Fan Fei. Utah FORGE 2-2446: Connecting In Situ Stress and Wellbore Deviation to Near-Well Fracture Complexity using Phase-Field Simulations. Lawrence Livermore National Laboratory, January, 30, 2025. Distributed by Geothermal Data Repository. https://gdr.openei.org/submissions/1709
@misc{GDR_Dataset_1709, title = {Utah FORGE 2-2446: Connecting In Situ Stress and Wellbore Deviation to Near-Well Fracture Complexity using Phase-Field Simulations}, author = {Cusini, Matteo and Fei, Fan}, abstractNote = {This report presents a series of numerical experiments investigating the relationships among near-well fracture complexity, in situ stress conditions, and wellbore deviation. Using a phase-field modeling approach, the study explores how factors such as stress regimes, wellbore orientation, and thermal cooling influence fracture propagation. The dataset includes a technical report detailing the modeling approach and findings, along with a repository of GEOS modeling input files. This work was conducted as part of Utah FORGE Project 2-2446, "Closing the Loop Between In-situ Stress Complexity and EGS Fracture Complexity."}, url = {https://gdr.openei.org/submissions/1709}, year = {2025}, howpublished = {Geothermal Data Repository, Lawrence Livermore National Laboratory, https://gdr.openei.org/submissions/1709}, note = {Accessed: 2025-04-22} }

Details

Data from Jan 30, 2025

Last updated Feb 11, 2025

Submitted Jan 31, 2025

Organization

Lawrence Livermore National Laboratory

Contact

Matteo Cusini

925.758.3117

Authors

Matteo Cusini

Lawrence Livermore National Laboratory

Fan Fei

Lawrence Livermore National Laboratory

DOE Project Details

Project Name Utah FORGE

Project Lead Lauren Boyd

Project Number EE0007080

Share

Submission Downloads