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Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress - 2025 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 University of Pittsburgh, presented by Dr. Andrew Bunger. 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 at the Utah FORGE R&D Annual Workshop on September 8, 2025. The workshop offered a valuable opportunity to review the progress of Research and Development projects funded under Solicitation 2020-1, which aim to improve our understanding of the key factors influencing Enhanced Geothermal System (EGS) reservoir and resource development.
Complete Metadata
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| description | 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 University of Pittsburgh, presented by Dr. Andrew Bunger. 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 at the Utah FORGE R&D Annual Workshop on September 8, 2025. The workshop offered a valuable opportunity to review the progress of Research and Development projects funded under Solicitation 2020-1, which aim to improve our understanding of the key factors influencing Enhanced Geothermal System (EGS) reservoir and resource development. |
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| identifier | https://data.openei.org/submissions/8524 |
| issued | 2025-09-18T06:00:00Z |
| keyword |
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"2025 Annual Workshop",
"EGS",
"Utah FORGE",
"analysis",
"characterization",
"energy",
"geothermal",
"in-situ stress",
"laboratory testing",
"machine learning",
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"sonic log",
"stress modeling"
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| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2025-09-21T18:55:40Z |
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| projectLead | Lauren Boyd |
| projectNumber | EE0007080 |
| projectTitle | Utah FORGE |
| publisher |
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| title | Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress - 2025 Workshop Presentation |
