Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation
Abstract
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.
- Authors:
- Publication Date:
- Other Number(s):
- 1536
- DOE Contract Number:
- EE0007080
- Research Org.:
- USDOE Geothermal Data Repository (United States); Battelle Memorial Institute, Columbus, OH (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
- Collaborations:
- Battelle Memorial Institute
- Subject:
- 15 Geothermal Energy
- Keywords:
- geothermal; energy; annual workshop; 2023; Utah FORGE; EGS; Machine Learning; in-situ stress; stress characterization; mini-frac; rock-core stress estimation; sonic-log data; modeling; laboratory experiments; deformation rate analysis; boundary element method; sleeve frac packer; far-field; near-field
- Geolocation:
- 41.04145697239,-109.7739828125|37.002775229137,-109.7739828125|37.002775229137,-113.6300828125|41.04145697239,-113.6300828125|41.04145697239,-109.7739828125
- OSTI Identifier:
- 2001502
- DOI:
- https://doi.org/10.15121/2001502
- Project Location:
-
Citation Formats
Kelley, Mark, and Bunger, Andrew. Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation. United States: N. p., 2023.
Web. doi:10.15121/2001502.
Kelley, Mark, & Bunger, Andrew. Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation. United States. doi:https://doi.org/10.15121/2001502
Kelley, Mark, and Bunger, Andrew. 2023.
"Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation". United States. doi:https://doi.org/10.15121/2001502. https://www.osti.gov/servlets/purl/2001502. Pub date:Fri Sep 08 00:00:00 EDT 2023
@article{osti_2001502,
title = {Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation},
author = {Kelley, Mark and Bunger, Andrew},
abstractNote = {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.},
doi = {10.15121/2001502},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Sep 08 00:00:00 EDT 2023},
month = {Fri Sep 08 00:00:00 EDT 2023}
}