Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation
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.
Citation Formats
Battelle Memorial Institute. (2023). Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation [data set]. Retrieved from https://dx.doi.org/10.15121/2001502.
Kelley, Mark, Bunger, Andrew. Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation. United States: N.p., 08 Sep, 2023. Web. doi: 10.15121/2001502.
Kelley, Mark, Bunger, Andrew. Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation. United States. https://dx.doi.org/10.15121/2001502
Kelley, Mark, Bunger, Andrew. 2023. "Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation". United States. https://dx.doi.org/10.15121/2001502. https://gdr.openei.org/submissions/1536.
@div{oedi_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, 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.}, doi = {10.15121/2001502}, url = {https://gdr.openei.org/submissions/1536}, journal = {}, number = , volume = , place = {United States}, year = {2023}, month = {09}}
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
Keywords
geothermal, energy, annual workshop, 2023, Utah FORGE, EGS, Machine Learning, in-situ stress, stress characterization, mini-frac, rock-core stress estimation, sonic-log data, modeling, laboratory experiments, deformation rate analysis, boundary element method, sleeve frac packer, far-field, near-fieldDOE Project Details
Project Name Utah FORGE
Project Lead Lauren Boyd
Project Number EE0007080