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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摘要为解决微震源定位中目标函数如何选择才能达到较好定位效果的难题，分析3种传统定位算法的目标函数形式，包括经典法、波速未知的TD(time difference)法、VD(velocity difference)法，提出无需测速的震源坐标与发震时刻联合定位的新目标函数TM(time method)法。通过对触发传感器到时个数的划分，基于时差定位原理，结合目标函数表达式和传感器阵列，对4种目标函数的关联性和收敛性进行理论分析，详细列举4种目标函数存在多解情况所对应的震源和传感器阵列位置关系。综合分析4种目标函数的适用性，提出微震源定位目标函数自适应识别算法(ARAOF)，该方法首先基于爆破测试数据，计算监测区域内4种目标函数的平均定位误差；接着，确定目标函数的选用次序，并初步选择平均定位误差最小的目标函数；最后，根据微震事件触发传感器个数、到时及位置信息，结合4种目标函数的收敛性和关联性，排除不稳定的目标函数，确定该微震事件的最优目标函数。河北北洺河铁矿现场试验表明：ARAOF法的稳定性和定位精度优于经典法、TD法、VD法和TM法，其平均定位精度比经典法、TD法、VD法和TM法分别提高了34.81%，44.63%，74.7%，27.09%，具有很好的实际应用价值。

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	李涛1
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	陈炳瑞1
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	朱新豪1
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	王旭1
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	谢明星3

关键词 ：岩石力学, 微震, 自适应识别算法, 目标函数, 关联性, 收敛性

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

引用本文:

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.

链接本文:

http://rockmech.whrsm.ac.cn/CN/10.13722/j.cnki.jrme.2021.0677 或 http://rockmech.whrsm.ac.cn/CN/Y2021/V40/IS2/3137

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