Utah FORGE 6-3712: Report on Building a Recurrent Neural Network Framework for Induced Seismicity - October, 2025
This is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of designing a recurrent neural network (RNN) to predict induced seismicity. Background material is included to inform non-subject matter experts about the types of architectures available. The exact architectures (layers) of three models are discussed, which are being used to predict induced seismicity.
Complete Metadata
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| description | This is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of designing a recurrent neural network (RNN) to predict induced seismicity. Background material is included to inform non-subject matter experts about the types of architectures available. The exact architectures (layers) of three models are discussed, which are being used to predict induced seismicity. |
| distribution |
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"title": "Technical Report.pdf",
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"accessURL": "https://gdr.openei.org/files/1797/FORGE_milestone_3p1_13_10_2025.pdf",
"mediaType": "application/pdf",
"description": "Technical report describing three deep learning architectures developed to predict induced seismicity at Utah FORGE."
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| identifier | https://data.openei.org/submissions/8550 |
| issued | 2025-10-13T06:00:00Z |
| keyword |
[
"AI",
"DL",
"Deep learning",
"EGS",
"Induced Seismicity",
"ML",
"Utah FORGE",
"artificial intelligence",
"energy",
"geophysical models",
"geothermal",
"injection parameters",
"machine learning",
"magnitude",
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"predictive",
"probabilistic",
"seismic data",
"technical report"
]
|
| landingPage | https://gdr.openei.org/submissions/1797 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2025-10-13T19:39:01Z |
| programCode |
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"019:006"
]
|
| projectLead | Lauren Boyd |
| projectNumber | EE0007080 |
| projectTitle | Utah FORGE |
| publisher |
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|
| title | Utah FORGE 6-3712: Report on Building a Recurrent Neural Network Framework for Induced Seismicity - October, 2025 |
