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.
Resources
3 resources available
-
Presentation Slides.pdf
PDF -
2-2439v2 - 2025 Annual Report.pdf
PDF -
Presentation Recording.mp4
MP4
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "019:20" ] |
| contactPoint |
{ "fn": "Andrew Bunger", "@type": "vcard:Contact", "hasEmail": "mailto:bunger@pitt.edu" } |
| dataQuality |
true
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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. |
| distribution |
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| identifier | https://data.openei.org/submissions/8524 |
| issued | 2025-09-18T06:00:00Z |
| keyword |
[ "2025 Annual Workshop", "EGS", "Utah FORGE", "analysis", "characterization", "energy", "geothermal", "in-situ stress", "laboratory testing", "machine learning", "mini-frac testing", "presentation", "presentation recording", "presentation slides", "report", "sonic log", "stress modeling" ] |
| landingPage | https://gdr.openei.org/submissions/1780 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2025-09-21T18:55:40Z |
| programCode |
[ "019:006" ] |
| projectLead | Lauren Boyd |
| projectNumber | EE0007080 |
| projectTitle | Utah FORGE |
| publisher |
{ "name": "University of Pittsburgh", "@type": "org:Organization" } |
| spatial |
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|
| title | Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress - 2025 Workshop Presentation |
