Arrival times by Recurrent Neural Network for induced seismic events from a permanent network

We have developed a Recurrent Neural Network (RNN)-based phase picker for data obtained from a local seismic monitoring array specifically designated for induced seismicity analysis. The proposed algorithm was rigorously tested using real-world data from a network encompassing nine three-component s...

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Hlavní autoři:	Petr Kolar, Umair bin Waheed, Leo Eisner, Petr Matousek
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2023-08-01
Edice:	Frontiers in Big Data
Témata:	Recurrent Neural Network automatic arrival time detection location magnitude hydraulic fracturing induced seismicity
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fdata.2023.1174478/full
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