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
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Andrew Bunger",
"@type": "vcard:Contact",
"hasEmail": "mailto:bunger@pitt.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 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 |
[
{
"@type": "dcat:Distribution",
"title": "Presentation Slides.pdf",
"format": "pdf",
"accessURL": "https://gdr.openei.org/files/1780/2-2439%20PITT%202025%20Annual%20Workshop%20Presentation.pdf",
"mediaType": "application/pdf",
"description": "These are the slides presented at the 2025 Utah FORGE annual workshop for project 2-2439v2."
},
{
"@type": "dcat:Distribution",
"title": "2-2439v2 - 2025 Annual Report.pdf",
"format": "pdf",
"accessURL": "https://gdr.openei.org/files/1780/2-2439v2%20Pitt%202025%20Annual%20Report.pdf",
"mediaType": "application/pdf",
"description": "This 2025 report summarizes the progress of the Utah FORGE project 2-2439v2."
},
{
"@type": "dcat:Distribution",
"title": "Presentation Recording.mp4",
"format": "mp4",
"accessURL": "https://gdr.openei.org/files/1780/PITT_2-2439v2%202025%20Annual%20Workshop%20Recording.mp4",
"mediaType": "application/octet-stream",
"description": "This is a presentation recording from the 2025 Utah FORGE annual workshop for project 2-2439v2."
}
]
|
| 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 |
"{"type":"Polygon","coordinates":[[[-112.916367,38.483935],[-112.879748,38.483935],[-112.879748,38.5148],[-112.916367,38.5148],[-112.916367,38.483935]]]}"
|
| title | Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress - 2025 Workshop Presentation |
