Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement - Workshop Presentation

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.

Resources

Name Format Description Link
77 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. https://gdr.openei.org/files/1536/Utah%20FORGE%202-2439-Battelle%202023%20Annual%20Workshop%20Presentation.mp4

Tags

  • modeling
  • annual-workshop
  • mini-frac
  • egs
  • far-field
  • utah-forge
  • boundary-element-method
  • laboratory-experiments
  • sleeve-frac-packer
  • near-field
  • 2023
  • stress-characterization
  • deformation-rate-analysis
  • rock-core-stress-estimation
  • in-situ-stress
  • sonic-log-data
  • machine-learning
  • geothermal
  • energy

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