High-resolution monitoring of hydraulically induced acoustic emission activities using neural phase picking and matched filter analysis
Abstract Monitoring the activities of very small seismic events or acoustic emissions (AEs) by estimating their hypocenters is useful in investigating fracturing processes in laboratory experiments. Here, we proposed an analysis procedure to develop high-quality AE event catalogs using deep learning...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-03-01
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| Series: | Progress in Earth and Planetary Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40645-025-00696-5 |
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