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Published in: Peer-to-Peer Networking and Applications 4/2020

06-05-2020

Research on detector signal receiving network layout optimization model

Authors: Haibo Liang, Xin Qin, Jianchong Gao, Muhammad Junaid Khan

Published in: Peer-to-Peer Networking and Applications | Issue 4/2020

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Abstract

Fracturing surface micro-seismic monitoring technology is widely used in fracturing surface. Micro- seismic monitoring conducted by means of the internet is composed of a large number of geophones laid on the ground to collect subsurface micro seismic signals and monitor fracturing fractures. With the advantages of a large amount of monitoring data, flexible layout, easy adjustment, and low cost. The technology also has some disadvantages, such as weak signal reception, vulnerable to environmental impact and low signal-to-noise ratio. In order to improve the positioning accuracy and receive as many effective signals as possible, a signal receiving network model of optimal geophone for micro-seismic monitoring on a fractured surface based on improved genetic algorithm is proposed. Through simulation and numerical analysis, the solution model has been optimized to meet the accuracy and quickly solve the optimal geophone array scheme. The results show that the optimal geophone array scheme not only satisfies the positioning accuracy but also achieves better reception of micro-seismic signals as possible with a small number of geophones, which reduces the cost and promotes the industrial application of this technology.

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Metadata
Title
Research on detector signal receiving network layout optimization model
Authors
Haibo Liang
Xin Qin
Jianchong Gao
Muhammad Junaid Khan
Publication date
06-05-2020
Publisher
Springer US
Published in
Peer-to-Peer Networking and Applications / Issue 4/2020
Print ISSN: 1936-6442
Electronic ISSN: 1936-6450
DOI
https://doi.org/10.1007/s12083-019-00867-4

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