Return to search results
Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - 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.
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 | 2023-09-25T15:48:15Z |
| programCode |
[
"019:006"
]
|
| projectLead | Lauren Boyd |
| projectNumber | EE0007080 |
| projectTitle | Utah FORGE |
| publisher |
{
"name": "Battelle Memorial Institute",
"@type": "org:Organization"
}
|
| spatial |
"{"type":"Polygon","coordinates":[[[-113.6300828125,37.00277522913662],[-109.7739828125,37.00277522913662],[-109.7739828125,41.04145697239045],[-113.6300828125,41.04145697239045],[-113.6300828125,37.00277522913662]]]}"
|
| title | Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation |
