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.
Citation Formats
TY - DATA
AB - 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.
AU - Kelley, Mark
A2 - Bunger, Andrew
DB - Geothermal Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/2001502
KW - geothermal
KW - energy
KW - annual workshop
KW - 2023
KW - Utah FORGE
KW - EGS
KW - Machine Learning
KW - in-situ stress
KW - stress characterization
KW - mini-frac
KW - rock-core stress estimation
KW - sonic-log data
KW - modeling
KW - laboratory experiments
KW - deformation rate analysis
KW - boundary element method
KW - sleeve frac packer
KW - far-field
KW - near-field
LA - English
DA - 2023/09/08
PY - 2023
PB - Battelle Memorial Institute
T1 - Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation
UR - https://doi.org/10.15121/2001502
ER -
Kelley, Mark, and Andrew Bunger. Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation. Battelle Memorial Institute, 8 September, 2023, Geothermal Data Repository. https://doi.org/10.15121/2001502.
Kelley, M., & Bunger, A. (2023). Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation. [Data set]. Geothermal Data Repository. Battelle Memorial Institute. https://doi.org/10.15121/2001502
Kelley, Mark and Andrew Bunger. Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation. Battelle Memorial Institute, September, 8, 2023. Distributed by Geothermal Data Repository. https://doi.org/10.15121/2001502
@misc{GDR_Dataset_1536,
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.},
url = {https://gdr.openei.org/submissions/1536},
year = {2023},
howpublished = {Geothermal Data Repository, Battelle Memorial Institute, https://doi.org/10.15121/2001502},
note = {Accessed: 2025-05-23},
doi = {10.15121/2001502}
}
https://dx.doi.org/10.15121/2001502
Details
Data from Sep 8, 2023
Last updated Sep 25, 2023
Submitted Sep 15, 2023
Organization
Battelle Memorial Institute
Contact
Sean Lattis
Authors
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-fieldDOE Project Details
Project Name Utah FORGE
Project Lead Lauren Boyd
Project Number EE0007080
