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Title: 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}
}