U.S. Department of EnergyOffice of Scientific and Technical Information
Utah FORGE 2-2439v2: Characterizing In-Situ Stress with Laboratory Modelling and Field Measurements - 2024 Annual Workshop Presentation
Abstract
This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the Utah FORGE Site: Laboratory Modelling and Field Measurements project by The University of Pittsburgh, presented by Andrew Bunger. The project characterizes the stress in the Utah FORGE EGS reservoir using three methods: Method 1: Demonstrate complimentary laboratory rock-core stress estimation combined with Machine Learning approach for measuring in-situ stress from field sonic log data; Method 2: Complete field based in-situ measurement (mini-frac); and Method 3: Develop a mechanics-based method for connection near wellbore stress measurements to stresses away from the well-bore. This presentation was featured in the Utah FORGE R&D Annual Workshop on August 14, 2024.
- Authors:
-
- Energy and Geoscience Institute at the University of Utah
- Publication Date:
- Other Number(s):
- 1640
- DOE Contract Number:
- EE0007080
- Research Org.:
- DOE Geothermal Data Repository; Energy and Geoscience Institute at the University of Utah
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
- Collaborations:
- Energy and Geoscience Institute at the University of Utah
- Subject:
- 15 GEOTHERMAL ENERGY; Machine Learning; Machine Learning for in-situ stress; Utah FORGE; energy; geothermal; in-situ stress; mini-frac; presentation; rock mechanics; rock stress; sonic logs; stress; stress estimation; video
- OSTI Identifier:
- 2439748
- DOI:
- https://doi.org/10.15121/2439748
Citation Formats
Bunger, Andrew. Utah FORGE 2-2439v2: Characterizing In-Situ Stress with Laboratory Modelling and Field Measurements - 2024 Annual Workshop Presentation. United States: N. p., 2024.
Web. doi:10.15121/2439748.
Bunger, Andrew. Utah FORGE 2-2439v2: Characterizing In-Situ Stress with Laboratory Modelling and Field Measurements - 2024 Annual Workshop Presentation. United States. doi:https://doi.org/10.15121/2439748
Bunger, Andrew. 2024.
"Utah FORGE 2-2439v2: Characterizing In-Situ Stress with Laboratory Modelling and Field Measurements - 2024 Annual Workshop Presentation". United States. doi:https://doi.org/10.15121/2439748. https://www.osti.gov/servlets/purl/2439748. Pub date:Wed Sep 04 00:00:00 EDT 2024
@article{osti_2439748,
title = {Utah FORGE 2-2439v2: Characterizing In-Situ Stress with Laboratory Modelling and Field Measurements - 2024 Annual Workshop Presentation},
author = {Bunger, Andrew},
abstractNote = {This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the Utah FORGE Site: Laboratory Modelling and Field Measurements project by The University of Pittsburgh, presented by Andrew Bunger. The project characterizes the stress in the Utah FORGE EGS reservoir using three methods: Method 1: Demonstrate complimentary laboratory rock-core stress estimation combined with Machine Learning approach for measuring in-situ stress from field sonic log data; Method 2: Complete field based in-situ measurement (mini-frac); and Method 3: Develop a mechanics-based method for connection near wellbore stress measurements to stresses away from the well-bore. This presentation was featured in the Utah FORGE R&D Annual Workshop on August 14, 2024.},
doi = {10.15121/2439748},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Sep 04 00:00:00 EDT 2024},
month = {Wed Sep 04 00:00:00 EDT 2024}
}