微震源定位目标函数及其自适应识别算法研究

doi:10.13722/j.cnki.jrme.2021.0677

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Abstract To solve the problem of how to choose the objective function in microseismic(MS) source location for achieving better location effect，the objective function of 3 kinds of traditional location methods are analyzed，including typical MS location(TMSL) method，the time difference(TD) method and velocity difference(VD) method without pre-measuring velocity. A new objective function without pre-measuring velocity，named time method (TM)，based on joint inversion of the seismogenic time and MS source coordinates. Through the division of the number of arrival time of trigger sensors，based on the location principle of time difference，combining the expression of objective functions and the sensor array，the correlation and convergence of 4 kinds of objective functions are analyzed theoretically. The position relationship of MS source and sensor array corresponding to the existence of multiple solutions of 4 kinds of objective functions are listed in detail. Based on the comprehensive analysis of the applicability of 4 kinds of objective functions，an adaptive recognition algorithm for MS source location objective function(ARAOF) is proposed. Firstly，based on the blasting test data，the average location errors of 4 kinds of objective functions in the monitoring area are calculated. Secondly，the average location errors of 4 kinds of objective functions are compared to determine the selection order of the objective function and the objective function with the minimum average location error is selected preliminarily. Finally，according to the number，arrival time and coordinate information of trigger sensors for MS events，combining the correlation and convergence of 4 kinds of objective functions，the unstable objective function is excluded and the optimal objective function of MS events is determined. The field test of the Beiminghe iron mine in Hebei province shows that stability and location accuracy of ARAOF method is superior to TMSL method，TD method，VD method and TM method， and its average location accuracy is 34.81%，44.63%，74.7% and 27.09% higher than that of TMSL method，TD method，VD method and TM method respectively，which has important practical application value.

Key words： rock mechanics microseismic adaptive recognition algorithm objective function correlation convergence

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	Articles by authors
	LI Tao1
	2
	CHEN Bingrui1
	2
	ZHU Xinhao1
	2
	WANG Xu1
	2
	XIE Mingxing3

Cite this article:

LI Tao1,2,CHEN Bingrui1, et al. Research on the objective function of microseismic source location and its adaptive recognition algorithm[J]. , 2021, 40(S2): 3137-3146.

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https://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2021.0677 OR https://rockmech.whrsm.ac.cn/EN/Y2021/V40/IS2/3137

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