Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation

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This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by Battelle [Columbus, OH], presented by Mark Kelley. The project's objective was to characterize stress in the Utah FORGE EGS reservoir using three methods: a laboratory rock-core stress estimation combined with a Machine Learning approach for estimation of in-situ stress from field sonic-log data, a field based in-situ measurement (min-frac) approach, and a modeling approach. This presentation was featured in the Utah FORGE R&D Annual Workshop on September 7, 2023. The workshop provided a valuable opportunity to explore the progress made in each of the 17 Research and Development projects funded under Solicitation 2020-1 which aim to enhance our understanding of the crucial factors influencing the development of Enhanced Geothermal Systems (EGS) reservoirs and resources.

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TY - DATA AB - This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by Battelle [Columbus, OH], presented by Mark Kelley. The project's objective was to characterize stress in the Utah FORGE EGS reservoir using three methods: a laboratory rock-core stress estimation combined with a Machine Learning approach for estimation of in-situ stress from field sonic-log data, a field based in-situ measurement (min-frac) approach, and a modeling approach. This presentation was featured in the Utah FORGE R&D Annual Workshop on September 7, 2023. The workshop provided a valuable opportunity to explore the progress made in each of the 17 Research and Development projects funded under Solicitation 2020-1 which aim to enhance our understanding of the crucial factors influencing the development of Enhanced Geothermal Systems (EGS) reservoirs and resources. AU - Kelley, Mark A2 - Bunger, Andrew DB - Geothermal Data Repository DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/2001502 KW - geothermal KW - energy KW - annual workshop KW - 2023 KW - Utah FORGE KW - EGS KW - Machine Learning KW - in-situ stress KW - stress characterization KW - mini-frac KW - rock-core stress estimation KW - sonic-log data KW - modeling KW - laboratory experiments KW - deformation rate analysis KW - boundary element method KW - sleeve frac packer KW - far-field KW - near-field LA - English DA - 2023/09/08 PY - 2023 PB - Battelle Memorial Institute T1 - Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation UR - https://doi.org/10.15121/2001502 ER -
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Kelley, Mark, and Andrew Bunger. Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation. Battelle Memorial Institute, 8 September, 2023, Geothermal Data Repository. https://doi.org/10.15121/2001502.
Kelley, M., & Bunger, A. (2023). Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation. [Data set]. Geothermal Data Repository. Battelle Memorial Institute. https://doi.org/10.15121/2001502
Kelley, Mark and Andrew Bunger. Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation. Battelle Memorial Institute, September, 8, 2023. Distributed by Geothermal Data Repository. https://doi.org/10.15121/2001502
@misc{GDR_Dataset_1536, title = {Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation}, author = {Kelley, Mark and Bunger, Andrew}, abstractNote = {This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by Battelle [Columbus, OH], presented by Mark Kelley. The project's objective was to characterize stress in the Utah FORGE EGS reservoir using three methods: a laboratory rock-core stress estimation combined with a Machine Learning approach for estimation of in-situ stress from field sonic-log data, a field based in-situ measurement (min-frac) approach, and a modeling approach. This presentation was featured in the Utah FORGE R\&D Annual Workshop on September 7, 2023. The workshop provided a valuable opportunity to explore the progress made in each of the 17 Research and Development projects funded under Solicitation 2020-1 which aim to enhance our understanding of the crucial factors influencing the development of Enhanced Geothermal Systems (EGS) reservoirs and resources.}, url = {https://gdr.openei.org/submissions/1536}, year = {2023}, howpublished = {Geothermal Data Repository, Battelle Memorial Institute, https://doi.org/10.15121/2001502}, note = {Accessed: 2025-05-03}, doi = {10.15121/2001502} }
https://dx.doi.org/10.15121/2001502

Details

Data from Sep 8, 2023

Last updated Sep 25, 2023

Submitted Sep 15, 2023

Organization

Battelle Memorial Institute

Contact

Sean Lattis

Authors

Mark Kelley

Battelle Memorial Institute

Andrew Bunger

University of Pittsburgh

DOE Project Details

Project Name Utah FORGE

Project Lead Lauren Boyd

Project Number EE0007080

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