Location method of ill-conditioned microseismic source and its engineering application
作者机构:Key Laboratory of Ministry of Education on Safe Mining of Deep Metal MinesNortheastern UniversityShenyang 110819China Key Laboratory of Liaoning Province on Deep Engineering and Intelligent TechnologyNortheastern UniversityShenyang 110819China State Key Laboratory of Geomechanics and Geotechnical EngineeringInstitute of Rock and Soil MechanicsChinese Academy of SciencesWuhanHubei 430071China University of Chinese Academy of SciencesBeijing 100049China Huaneng Tibet Hydropower Safety Engineering Technology Research CenterNyingchiTibet 860061China
出 版 物:《Deep Resources Engineering》 (深部资源工程(英文))
年 卷 期:2024年第1卷第3期
页 面:30-42页
学科分类:07[理学] 0701[理学-数学] 070101[理学-基础数学]
基 金:the financial support from the National Natural Science Foundation of China(Grant no.42077263)
主 题:Microseismic Location method III-conditioned problem Condition number singular value Regularization Newton downhill method
摘 要:Microseismic event location is one of the core parameters in microseismic monitoring,and the accuracy of localization will directly affect the effectiveness of engineering ***,limited by spatial factors,the geometry of the sensor installation will be close to linear,which makes the localization equation suffer from the pathological problem,and the localization accuracy is greatly *** address this problem,the reasons for the pathological problem are analyzed from the perspective of the objective function residuals and coefficient *** pathological problem is caused by the combined effect of the poorer sensor array and data errors,and its residual isosurface shows a conical distribution,and as the residual value decreases,the apex of the isosurface gradually extends to the far side,and the localization results do not *** this reason,an improved regularized Newton downhill localization algorithm is *** this method,firstly,the Newtonian downhill method is improved so that the magnitudes of the seismic source parameters are the same,and the condition number of the coefficient matrix is reduced;then,the L-curve method is used to calculate the regularization factor for the pathological equations,and the coefficient matrix is improved;finally,the pathological equations are regularized,and the seismic source coordinates are obtained by the improved Newtonian downhill *** results of engineering applications show that compared with the traditional algorithm based on automatic of P-arrival picking,the number of effective microseismic events calculated by the proposed localization algorithm is increased by 194.7%,and the localization accuracy is substantially *** proposed algorithm reduces the problem of low accuracy of S-arrival picking and allows localization using only P-wave *** method reduces the quality requirements of the data and significantly improves the utilization of microseismic events and positi