Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - 2023 Annual 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.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "019:20" ] |
| contactPoint |
{ "fn": "Sean Lattis", "@type": "vcard:Contact", "hasEmail": "mailto:slattis@egi.utah.edu" } |
| dataQuality |
true
|
| 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 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. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Presentation Recording.mp4", "format": "mp4", "accessURL": "https://gdr.openei.org/files/1536/Utah%20FORGE%202-2439-Battelle%202023%20Annual%20Workshop%20Presentation.mp4", "mediaType": "application/octet-stream", "description": "The presentation followed a peer review format comprised of two parts, a formal presentation roughly lasting 20 minutes followed by a Q&A discussion lasting about 25 minutes." } ] |
| DOI | 10.15121/2001502 |
| identifier | https://data.openei.org/submissions/7623 |
| issued | 2023-09-08T06:00:00Z |
| keyword |
[ "2023", "EGS", "Machine Learning", "Utah FORGE", "annual workshop", "boundary element method", "deformation rate analysis", "energy", "far-field", "geothermal", "in-situ stress", "laboratory experiments", "mini-frac", "modeling", "near-field", "rock-core stress estimation", "sleeve frac packer", "sonic-log data", "stress characterization" ] |
| landingPage | https://gdr.openei.org/submissions/1536 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2026-07-28T18:12:24Z |
| programCode |
[ "019:006" ] |
| projectLead | Lauren Boyd |
| projectNumber | EE0007080 |
| projectTitle | Utah FORGE |
| publisher |
{ "name": "Battelle Memorial Institute", "@type": "org:Organization" } |
| spatial |
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|
| title | Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - 2023 Annual Workshop Presentation |
