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.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Presentation Recording.mp4 | MP4 | 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. | Open resource |