Real-time arrival picking of rock microfracture signals based on convolutional-recurrent neural network and its engineering application

Real-time arrival picking of rock microfracture signals based on convolutional-recurrent neural network and its engineering application

Accurately picking P- and S-wave arrivals of microseismic (MS) signals in real-time directly influences the early warning of rock mass failure. A common contradiction between accuracy and computation exists in the current arrival picking methods. Thus, a real-time arrival picking method of MS signal...

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Bibliographic Details
Main Authors: Bing-Rui Chen, Xu Wang, Xinhao Zhu, Qing Wang, Houlin Xie
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Journal of Rock Mechanics and Geotechnical Engineering
Subjects:
Rock mass failure
Microseismic event
P-wave arrival
S-wave arrival
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1674775523001993

Internet

http://www.sciencedirect.com/science/article/pii/S1674775523001993

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