Research on the objective function of microseismic source location and its adaptive recognition algorithm
LI Tao1，2，CHEN Bingrui1，2，ZHU Xinhao1，2，WANG Xu1，2，XIE Mingxing3
(1. State Key Laboratory of Geomechanics and Geotechnical Engineering，Institute of Rock and Soil Mechanics，Chinese Academy of Sciences，Wuhan，Hubei 430071，China；2. University of Chinese Academy of Sciences，Beijing 100049，China；
3. Beiminghe Iron Mine of Minmetals Hanxing Mining Co.，Ltd.，Handan，Hebei 056300，China)
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.
李 涛1，2，陈炳瑞1，2，朱新豪1，2，王 旭1，2，谢明星3. 微震源定位目标函数及其自适应识别算法研究[J]. 岩石力学与工程学报, 2021, 40(S2): 3137-3146.
LI Tao1，2，CHEN Bingrui1，2，ZHU Xinhao1，2，WANG Xu1，2，XIE Mingxing3. Research on the objective function of microseismic source location and its adaptive recognition algorithm. , 2021, 40(S2): 3137-3146.
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