Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation - 2024 Annual Workshop Presentation

Description

This is a presentation on the Cutting Edge Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation by the University of Utah, presented by No'am Zach Dvory. This video slide presentation, by the University of Utah, discussed the technical objectives of developing a real-time decision-making platform to enhance seismic monitoring and risk management during stimulation activities. This presentation was featured in the Utah FORGE R&D Annual Workshop on August 15, 2024.

Resources

Name Format Description Link
77 As part of the 2024 Utah FORGE R&D Workshop, this presentation offers the newest updates to the Cutting Edge Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation project from The University of Utah. The presentation follows a standard format, with a 15 minute presentation section followed by a 10 minute Q&A via Utah FORGE panelists and the presenters. https://gdr.openei.org/files/1652/UofU%206-3629%20GMT20240815-135917_Recording_as_1920x1080.mp4

Tags

  • data-driven-decisions
  • proactive-risk-mitigation
  • egs
  • university-of-utah
  • utah-forge
  • community-saftey
  • improved-saftey
  • fracing
  • ai
  • stimulation
  • seismic
  • seismic-hazards
  • ground-motion
  • presentation
  • infrastructure-protection
  • immediate-response
  • video
  • machine-learning
  • geothermal
  • energy

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