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Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks - 2024 Annual Workshop Presentation
This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Jesse Williams. This video slide presentation discusses the development of machine learning-based predictive tools to estimate the magnitude-frequency response of stimulation-induced seismicity. This presentation was featured in the Utah FORGE R&D Annual Workshop on August 15, 2024.
Complete Metadata
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| contactPoint |
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"fn": "Sean Lattice",
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| description | This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Jesse Williams. This video slide presentation discusses the development of machine learning-based predictive tools to estimate the magnitude-frequency response of stimulation-induced seismicity. This presentation was featured in the Utah FORGE R&D Annual Workshop on August 15, 2024. |
| distribution |
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"@type": "dcat:Distribution",
"title": "Presentation Recording.mp4",
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"accessURL": "https://gdr.openei.org/files/1659/GlobalTechConnection%206-3712%20GMT20240815-143041_Recording_as_2560x1080.mp4",
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"description": "As part of the 2024 Utah FORGE R&D Workshop, this presentation offers the newest updates to the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks project from GTC Analytics. 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. "
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|
| DOI | 10.15121/2441446 |
| identifier | https://data.openei.org/submissions/7728 |
| issued | 2024-09-17T06:00:00Z |
| keyword |
[
"DL",
"EGS",
"Utah FORGE",
"deep learning",
"energy",
"geothermal",
"machine learning",
"magnitude-frequency distribution",
"multi frequency",
"predictive systems",
"presentation",
"seismic",
"seismicity",
"seismicity predictor",
"stimulation",
"stimulation-induced seismicity",
"video"
]
|
| landingPage | https://gdr.openei.org/submissions/1659 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2024-09-17T16:44:10Z |
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|
| projectLead | Lauren Boyd |
| projectNumber | EE0007080 |
| projectTitle | Utah FORGE |
| publisher |
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"name": "Energy and Geoscience Institute at the University of Utah",
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|
| title | Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks - 2024 Annual Workshop Presentation |
