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Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation
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National Renewable Energy Laboratory (NREL) - view all
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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.

2023EGSMachine LearningUtah FORGEannual workshopboundary element methoddeformation rate analysisenergyfar-fieldgeothermalin-situ stresslaboratory experimentsmini-fracmodelingnear-fieldrock-core stress estimationsleeve frac packersonic-log datastress characterization
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Dcat Issued2023-09-08T06:00:00Z
Dcat Modified2023-09-25T15:48:15Z
Dcat Publisher NameBattelle Memorial Institute
Guidhttps://data.openei.org/submissions/7623
Harvest Object Id590e0be1-1270-4804-b37f-08a53f16b279
Harvest Source Id4eb7107f-a2b1-40e3-b36a-8161aa98a56e
Harvest Source TitleOpenEI Data Portal
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