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

Published by Energy and Geoscience Institute at the University of Utah | Department of Energy | Metadata Last Checked: June 28, 2025 | Last Modified: 2024-09-17T15:57:44Z

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.

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Complete Metadata

bureauCode	[ "019:20" ]
dataQuality	true
DOI	10.15121/2441432
identifier	https://data.openei.org/submissions/7722
issued	2024-09-15T06:00:00Z
landingPage	https://gdr.openei.org/submissions/1652
programCode	[ "019:006" ]
projectLead	Lauren Boyd
projectNumber	EE0007080
projectTitle	Utah FORGE
spatial	{"type":"Polygon","coordinates":[[[-112.916367,38.483935],[-112.879748,38.483935],[-112.879748,38.5148],[-112.916367,38.5148],[-112.916367,38.483935]]]}

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