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
Identifiers and Pagination:Year: 2015
First Page: 1041
Last Page: 1047
Publisher Id: TOCIEJ-9-1041
Article History:Received Date: 3/2/2015
Revision Received Date: 3/4/2015
Acceptance Date: 25/5/2015
Electronic publication date: 9/11/2015
Collection year: 2015
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: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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.