Automated Detection of Microseismic Arrival Based on Convolutional Neural Networks

Automated Detection of Microseismic Arrival Based on Convolutional Neural Networks

It is difficult to accurately and efficiently detect seismic wave signals at the time of arrival for automatic positioning from microseismic waves. A U-net model to detect the arrival time of seismic waves is constructed based on the convolutional neural network (CNN) theory. The original data for 1...

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Bibliographic Details
Main Authors:	Weijian Liu, Haoyuan Chang, Yang Xiao, Shuisheng Yu, Chuanbo Huang, Yuntian Yao
Format:	Article
Language:	English
Published:	Wiley 2022-01-01
Series:	Shock and Vibration
Online Access:	http://dx.doi.org/10.1155/2022/8000477
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