Research on Geophone Array Method and Forward and Inversion Algorithm in Micro-seismic Positioning and Monitoring System

Faquan Zhang*, Xiaozhe Yang, Pengfei Wang, Jincai Ye, Guofu Wang
School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China.

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© 2015 Zhang et al;

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China; Tel: +86-152-9600-6766; E-mail:


In order to make the seismic positioning and monitoring system work more effectively, this paper designs four kinds of geophone array methods. By establishing complex geological model and using micro-grid ray tracing, the process that the signal starts from the source location to the seismic geophone arrays is simulated in forward algorithm. In condition of random disturbance, the source location is retrieved by means of inversion algorithm fulfilled by neural network algorithm and genetic algorithm. Finally, on the basis of the analysis of the result and comparison with the true location, the characteristics of every geophone array method are presented. The paper also discusses proper number of geophones in the every array method. Results show that the most accurate, reasonable and effective array method can be selected and the forward and inversion algorithm is also effective.

Keywords: Genetic algorithm, geophone array, seismic positioning and monitoring, source location.