Research on surface seismic source location method based on local mean decomposition and time difference of arrival

2015 ◽  
Author(s):  
Weibo Liu ◽  
Kaiyan Li ◽  
Jiangtao Wen ◽  
Xiaojing Yu ◽  
Xijun Wu
Keyword(s):  
Seismic Source ◽  
Source Location ◽  
Time Difference ◽  
Time Difference Of Arrival ◽  
Location Method ◽  
Local Mean Decomposition ◽  
Local Mean ◽  
Seismic Source Location

Micro-seismic source location determined by a modified objective function

2019 ◽  
Vol 36 (4) ◽  
pp. 1849-1856
Author(s):  
L. Z. Wu ◽  
S. H. Li ◽  
R. Q. Huang ◽  
S. Y. Wang
Keyword(s):  
Objective Function ◽  
Seismic Source ◽  
Source Location ◽  
Seismic Source Location

scholarly journals Artificial Seismic Source Field Research on the Impact of the Number and Layout of Stations on the Microseismic Location Error of Mines

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Bao-xin Jia ◽  
Lin-li Zhou ◽  
Yi-shan Pan ◽  
Hao Chen
Keyword(s):  
Wave Velocity ◽  
Monitoring Network ◽  
Seismic Source ◽  
Source Location ◽  
Location Model ◽  
Location Error ◽  
Monitoring Cost ◽  
Microseismic Location ◽  
Seismic Source Location ◽  
The Impact

A site experiment is performed herein within a 100 m range using a high-frequency structure activity monitor to explore the impact of different factors on the microseismic source location and analyze the range of influence of the velocity model, number of stations, and array surface on the seismic source location. Moreover, the impact of wave velocity, velocity-free location algorithm, and position of the seismic source on the microseismic location error of mines is discussed by establishing the ideal theoretical model of the wave velocity location and with particle swarm optimization. The impact of the number of stations and tables on the location precision is also explored by using the microseismic signals produced by the artificial seismic source. The results show that, for the location model containing the velocity, the velocity error would greatly affect the location precision, and the velocity-free algorithm receives good location results. The location result is more satisfactory when the seismic source point falls in between array envelope lines. The seismic source location precision is in direct proportion to the number of stations. According to the experiment, within a 100 m range, when the number of stations is over 12, the effect does not significantly grow with the increase of stations; the number of tables affects the location precision; and the multitable location effect is significantly superior to the single-table effect. The research shows that the optimal station density is 0.0192%, and the appropriate sensor layout to form a multitable monitoring network may effectively enhance the microseismic source precision of mines through the selection of a velocity-free location model. On the contrary, the number of stations can be reduced on the premise of the allowable error of the seismic source location, which may effectively reduce the monitoring cost.

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