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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

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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.

Citation Formats

TY - DATA AB - 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. AU - Dvory, No'am Zach DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/2441432 KW - geothermal KW - energy KW - Utah FORGE KW - University of Utah KW - seismic KW - AI KW - machine learning KW - data-driven decisions KW - community saftey KW - infrastructure protection KW - proactive risk mitigation KW - improved saftey KW - immediate response KW - stimulation KW - fracing KW - ground motion KW - seismic hazards KW - EGS KW - video KW - presentation LA - English DA - 2024/09/15 PY - 2024 PB - Energy and Geoscience Institute at the University of Utah T1 - Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation - 2024 Annual Workshop Presentation UR - https://doi.org/10.15121/2441432 ER -
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Dvory, No'am Zach. Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation - 2024 Annual Workshop Presentation. Energy and Geoscience Institute at the University of Utah, 15 September, 2024, GDR. https://doi.org/10.15121/2441432.
Dvory, N. (2024). Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation - 2024 Annual Workshop Presentation. [Data set]. GDR. Energy and Geoscience Institute at the University of Utah. https://doi.org/10.15121/2441432
Dvory, No'am Zach. Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation - 2024 Annual Workshop Presentation. Energy and Geoscience Institute at the University of Utah, September, 15, 2024. Distributed by GDR. https://doi.org/10.15121/2441432
@misc{OEDI_Dataset_7722, title = {Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation - 2024 Annual Workshop Presentation}, author = {Dvory, No'am Zach}, abstractNote = {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. }, url = {https://gdr.openei.org/submissions/1652}, year = {2024}, howpublished = {GDR, Energy and Geoscience Institute at the University of Utah, https://doi.org/10.15121/2441432}, note = {Accessed: 2025-05-03}, doi = {10.15121/2441432} }
https://dx.doi.org/10.15121/2441432

Details

Data from Sep 15, 2024

Last updated Sep 17, 2024

Submitted Sep 15, 2024

Organization

Energy and Geoscience Institute at the University of Utah

Contact

Sean Lattice

801.581.3547

Authors

No'am Zach Dvory

University of Utah

Research Areas

DOE Project Details

Project Name Utah FORGE

Project Lead Lauren Boyd

Project Number EE0007080

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