Review for the microseismic source location in surrounding rock of deep-buried tunnel

Abstract

The purpose of this review is to introduce the principle and development of microseismic source localization technology in deep-buried tunnel engineering. First, it introduces the main methods of microseismic source localization and the main factors affecting the accuracy of source location are summarized, including velocity structure model, propagation path of microseismic wave, objective function, algorithm, monitoring sensors array, and arrival-time picking up of microseismic wave. Then, by analyzing the influence of these factors on the result of microseismic source localization, the advantages and disadvantages of each method are discussed, and the methods and measures to improve the accuracy are counseled. This review discusses the optimization of monitoring sensors array and provides theoretical guidance for rock fracture monitoring in engineering. Finally, a brief summary is given, and the future research direction of microseismic source localization is put forward.

Keywords

microseismic source localization / deep buried tunnel / microseismic monitoring / algorithm of source location

References

[1] WarpinskiN. Microseismic monitoring: Inside and out [J]. Journal of Petroleum Technology, 2009, 61(11): 80-85

[2] WangL, WangQ, LiS, et al. . Soft rock tunnel excavation during seismic activity features and stability analysis [J]. Journal of Mining and Safety Engineering, 2018, 35(1): 10-18(in Chinese)

[3] ChenY, XiaoP, LiP, et al. . Formation mechanism of rockburst in deep tunnel adjacent to faults: Implication from numerical simulation and microseismic monitoring [J]. Journal of Central South University, 2022, 29(12): 4035-4050

[4] WangY, ShangX, PengK. Locating mine microseismic events in a 3D velocity model through the Gaussian beam reverse-time migration technique [J]. Sensors, 2020, 20(9): 2676

[5] CodegliaD, DixonN, FowmesG J, et al. . Analysis of acoustic emission patterns for monitoring of rock slope deformation mechanisms [J]. Engineering Geology, 2017, 219: 21-31

[6] GeM. Efficient mine microseismic monitoring [J]. International Journal of Coal Geology, 2005, 64(1–2): 44-56

[7] ZhaoJ, JiangQ, PeiS, et al. . Microseismicity and focal mechanism of blasting-induced block falling of intersecting chamber of large underground cavern under high geostress [J]. Journal of Central South University, 2023, 30(2): 542-554

[8] LiJ, TangS, SongH, et al. . Engineering properties and microstructure of expansive soil treated with nanographite powder [J]. Journal of Central South University, 2022, 29(2): 499-514

[9] WangH, GeM. Acoustic emission/microseismic source location analysis for a limestone mine exhibiting high horizontal stresses [J]. International Journal of Rock Mechanics and Mining Sciences, 2008, 45(5): 720-728

[10] WangJ X, TangS B, HeapM J, et al. . An auto-detection network to provide an automated real-time early warning of rock engineering hazards using microseismic monitoring [J]. International Journal of Rock Mechanics and Mining Sciences, 2021, 140104685

[11] HudymaM, PotvinY H. An engineering approach to seismic risk management in hardrock mines [J]. Rock Mechanics and Rock Engineering, 2010, 43(6): 891-906

[12] DongL, SunD, LiX, et al. . Interval non-probabilistic reliability of surrounding jointed rockmass considering microseismic loads in mining tunnels [J]. Tunnelling and Underground Space Technology, 2018, 81326-335

[13] FengG, FengX, ChenB, et al. . Effects of structural planes on the microseismicity associated with rockburst development processes in deep tunnels of the Jinping-II Hydropower Station, China [J]. Tunnelling and Underground Space Technology, 2019, 84: 273-280

[14] LiT, FengX, WangR, et al. . Characteristics of rockburst location deflection and its microseismic activities in a deep tunnel [J]. Rock and Soil Mechanics, 2019, 40(7): 2847-2854(in Chinese)

[15] LiB, DingQ, XuN, et al. . Characteristics of microseismic b-value associated with rock mass large deformation in underground powerhouse caverns at different stress levels [J]. Journal of Central South University, 2022, 29(2): 693-711

[16] BaiM, ShiH, YiD, et al. . Rock burst characteristics of deep-buried tunnels based on complex variable function theory [J]. Modern Tunnelling Technology, 2018, 55(1): 71-7791

[17] Nunes-Do-RosárioD A, Xavier-De-SouzaS, MacielR C, et al. . Parallel scalability of a fine-grain prestack reverse time migration algorithm [J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(12): 2433-2437

[18] PengP, JiangY, WangL, et al. . Microseismic event location by considering the influence of the empty area in an excavated tunnel [J]. Sensors, 2020, 20(2): 574

[19] DongL, LiX, TangL. Analysis of main factors affecting the accuracy of microseismic microseismic source localization [J]. Science and technology bulletin, 2013, 312426-32

[20] ChengJ, SongG, SunX, et al. . Research developments and prospects on microseismic source location in mines [J]. Engineering, 2018, 4(5): 653-660

[21] PengK, GuoH, ShangX. Microseismic source location using the Log-Cosh function and distant sensor-removed P-wave arrival data [J]. Journal of Central South University, 2022, 29(2): 712-725

[22] ChenB, LiT, ZhuX, et al. . Microseismic source location method based on a velocity model database and statistical analysis [J]. Arabian Journal of Geosciences, 2021, 14(19): 2017

[23] FengG, FengX, ChenB, et al. . Sectional velocity model for microseismic source location in tunnels [J]. Tunnelling and Underground Space Technology, 2015, 45: 73-83

[24] GeigerL. Probability method for the determination of earthquake epicenters from arrival time only [J]. Bull St Louis Univ, 1912, 860-71

[25] CrossonR S. Crustal structure modeling of earthquake data: 1. Simultaneous least squares estimation of hypocenter and velocity parameters [J]. Journal of Geophysical Research, 1976, 81(17): 3036-3046

[26] SunJ, XueZ, ZhuT, et al. Full-waveform inversion of passive seismic data for sources and velocities [C], 2016, Dallas, Texas, Society of Exploration Geophysicists

[27] JiaB, WangK, SunA, et al. . Experimental study on propagation law of microseismic signal in layered rock mass containing goaf [J]. Rock and Soil Mechanics, 2020, 41(10): 3255-3265(in Chinese)

[28] GongS, DouL, MaX, et al. . Study on the construction and solution technique of anisotropic velocity model in the location of coal mine tremor [J]. Chinese Journal of Geophysics, 2012, 55(5): 1757-1763(in Chinese)

[29] JiangT, PeiS. Micro-seismic event location based on Newton iteration method and grid-search method [J]. Journal of Mining Science and Technology, 2019, 4(6): 480-488(in Chinese)

[30] HuangG, BaJ, QianW. Simultaneous inversion for anisotropic velocity structure and microseismic location in layered TI media [J]. Chinese Journal of Geophysics, 2020, 63(7): 2846-2857(in Chinese)

[31] TangS, DongZ, WangJ, et al. . A numerical study of fracture initiation under different loads during hydraulic fracturing [J]. Journal of Central South University, 2020, 27(12): 3875-3887

[32] JiangR, DaiF, LiuY, et al. . Fast marching method for microseismic source location in caverncontaining rockmass: Performance analysis and engineering application [J]. Engineering, 2021, 7(7): 1023-1034

[33] ChoiS, ParkJ, ByunJ, et al. Robust ground plane detection from 3D point clouds [C], 2014, Gyeonggi-do, Korea, IEEE: 10761081

[34] LiJ, WuS, GaoY, et al. . An improved multidirectional velocity model for micro-seismic monitoring in rock engineering [J]. Journal of Central South University, 2015, 22(6): 2348-2358

[35] ShangX, LiuC, LiX, et al. . AE/MS event source location for circular hole-contained structures through an analytical solution-based shortest P-wave travel path [J]. Rock Mechanics and Rock Engineering, 2023, 56(5): 3339-3357

[36] DongL, TangZ, LiX, et al. . Discrimination of mining microseismic events and blasts using convolutional neural networks and original waveform [J]. Journal of Central South University, 2020, 27(10): 3078-3089

[37] DingL, LiuQ, GaoE, et al. . Locating microseismic sources based upon L-shaped single-component geophone array: A synthetic study [J]. Journal of Central South University, 2020, 27(9): 2711-2725

[38] LiJ, WuS, GaoY, et al. . An improved multidirectional velocity model for micro-seismic monitoring in rock engineering [J]. Journal of Central South University, 2015, 22(6): 2348-2358

[39] LuoZ, ShangX, WangY, et al. . P- and S-wave arrival time combined Bayesian location method for a microseismic event [J]. Journal of Central South University, 2023, 30(11): 3808-3820

[40] DongL, LiX, TangL, et al. . Mathematical functions and parameters for microseismic source location without pre-measuring speed [J]. Chinese Journal of Rock Mechanics and Engineering, 2011, 30(10): 2057-2067(in Chinese)

[41] LiJ, GaoY, XieY, et al. . Improvement of microseism locating based on simplex method without velocity measuring [J]. Chinese Journal of Rock Mechanics and Engineering, 2014, 33(7): 1336-1346(in Chinese)

[42] LEE W, LAHR J. HYPO71: A computer program for determining hypocenter, magnitude, and first motion pattern of local earthquakes [M]. US Department of the Interior, Geological Survey, National Center for Earthquake Research, 1972.

[43] BurdickR D, SpeirerR A. Development of a method to detect geologic faults and other linear features from landsat images [J]. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1981, 18(1): 18

[44] DongL, LiX, ZhouZ, et al. . Three-dimensional analytical solution of acoustic emission source location for cuboid monitoring network without pre-measured wave velocity [J]. Transactions of Nonferrous Metals Society of China, 2015, 251293-302

[45] LiaoZ, FengT, YuW, et al. . Microseismic source location method and application based on NM-PSO algorithm [J]. Applied Sciences, 2022, 12(17): 8796

[46] LinF, LiS, XueY, et al. . Microseismic sources location methods based on different initial values [J]. Chinese Journal of Rock Mechanics and Engineering, 2010, 295996-1002(in Chinese)

[47] ZhongX, SunX, GuiZ, et al. . Study on the micro-seismic velocity model correction based on the parallel simulated annealing algorithm [J]. Progress in Geophysics, 2019, 34(2): 687-693(in Chinese)

[48] XinW, LiJ, HanY, et al. . Underground source localization method based on adaptive particle swarm optimization [J]. Computer Systems & Applications, 2019, 28(12): 165-170(in Chinese)

[49] WangJ, LiT, MaC, et al. . Gravitational search algorithm based microseismic positioning in tunnel surrounding rock [J]. Rock and Soil Mechanics, 2019, 40(11): 4421-44284476

[50] LiY, WangJ, WangZ, et al. . Microseismic P-wave travel time computation and 3D localization based on a 3D high-order fast marching method [J]. Sensors, 2021, 21(17): 5815

[51] ZhangX, ZhuH, LiuQ, et al. . Research on microseismic event locating in layered rock masses based on Snell’s law and Cuckoo search algorithm [J]. Chinese Journal of Rock Mechanics and Engineering, 2021, 4071383-1391(in Chinese)

[52] LüJ, JiangY, ZhaoY, et al. . Study of microseismic positioning based on steady simulated annealing-simplex hybrid algorithm [J]. Rock and Soil Mechanics, 2013, 34(8): 2195-2203(in Chinese)

[53] GuoY, CuiN, ChengJ. Microeismic source localization method based on hybrid algorithm of MOPSO-SA [J]. Coal Science and Technology, 2020, 48(3): 126-132(in Chinese)

[54] YaoX, LiuY, LinG. Evolutionary programming made faster [J]. IEEE Transactions on Evolutionary Computation, 1999, 3(2): 82-102

[55] WangE, PangT, QuP, et al. . Improved particle filter algorithm based on chaos particle swarm optimization [J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(5): 885-890(in Chinese)

[56] ChenK, ZhouF, LiuA. Chaotic dynamic weight particle swarm optimization for numerical function optimization [J]. Knowledge-Based Systems, 2018, 139: 23-40

[57] LiM, XuG, LaiQ, et al. . A chaotic strategy-based quadratic opposition-based learning adaptive variable-speed whale optimization algorithm [J]. Mathematics and Computers in Simulation, 2022, 193: 71-99

[58] MahdaviS, RahnamayanS, DebK. Opposition based learning: A literature review [J]. Swarm and Evolutionary Computation, 2018, 39: 1-23

[59] TizhooshH ROpposition-based learning: A new scheme for machine intelligence [C], 2006, Vienna, Austria, IEEE: 695701

[60] KaurG, AroraS. Chaotic whale optimization algorithm [J]. Journal of Computational Design and Engineering, 2018, 5(3): 275-284

[61] AroraS, AnandP. Chaotic grasshopper optimization algorithm for global optimization [J]. Neural Computing and Applications, 2019, 31(8): 4385-4405

[62] WuJ, ChengY, LiuC, et al. . A BP neural network based on improved PSO for increasing current efficiency of copper electrowinning [J]. Journal of Electrical Engineering & Technology, 2021, 16(3): 1297-1304

[63] ZhouC, BaiB, YeN. Reliability prediction of engineering system based on adaptive particle swarm optimization support vector regression [J/OL]. Journal of Mechanical Engineering, 2023, 59(14): 328-338(in Chinese)

[64] COLLINS D, TOYA Y, PINNOCK I, et al. 3D velocity model with complex geology and voids for microseismic location and mechanism [C]//Proceedings of the Seventh International Conference on Deep and High Stress Mining. Perth, Australia, Australian Centre for Geomechanics, 2014. DOI: https://doi.org/10.36487/acg_rep/1410_48_collins.

[65] ZhuM, ChengJ, WangL. The effect of P- and S-phase arrivals on the accuracy of microseismic source location [J]. Journal of Applied Geophysics, 2019, 164: 130-139

[66] ZhangY, LiK, LiuX, et al. . Experimental study on the influence of sensor type on time-frequency characteristics of rock rupture acoustic emission [J]. Journal of Experimental Mechanics, 2018, 33(6): 902-910(in Chinese)

[67] JiaB, LiF. Source location method of microseisms with double seismic phases based on TFA-DC arrival time picking [J]. Journal of China Coal Society, 2022, 47(2): 817-827(in Chinese)

[68] ChenT, HuangL. Optimal design of microseismic monitoring network: Synthetic study for the Kimberlina CO₂ storage demonstration site [J]. International Journal of Greenhouse Gas Control, 2020, 95102981

[69] RabinowitzN, SteinbergD M. Optimal configuration of a seismographic network: A statistical approach [J]. Bulletin of the Seismological Society of America, 1990, 80(1): 187-196

[70] BartalY. Optimal seismic networks in Israel in the context of the comprehensive test ban treaty [J]. Bulletin of the Seismological Society of America, 2000, 90(1): 151-165

[71] TangL, YangC, PanC. Optimization of microseismic monitoring network for large-scale deep well mining [J]. Chinese Journal of Rock Mechanics and Engineering, 2006, 25(10): 2036-2042(in Chinese)

[72] JiaB, LiG. The research and application for spatial distribution of mines seismic monitoring stations [J]. Journal of China Coal Society, 2010, 35(12): 2045-2048(in Chinese)

[73] WangJ, ZengX, LiZ, et al. . Microseismic source location positioning and distribution of seismometer on travel-time fitting [J]. Journal of Jilin University, 2012, 30(2): 192-197

[74] WangZ, TengY. Research on the application of automatic monitoring software for seismic observation instruments [J]. IOP Conference Series: Earth and Environmental Science, 2020, 513(1): 012051

[75] ZhouY, LiX, LiuZ, et al. . Fuzzy optimum approach for three-dimensional underground microseismic network with high precision [J]. Journal of Safety Science and Technology, 2016, 12782-86(in Chinese)

[76] CaoY, LiuY, DengH. Research and application on multi-objective optimization decision model for mine microseismic monitoring network [J]. Mining Research and Development, 2021, 41(11): 34-43(in Chinese)

[77] ChenF, WuH, CuiB, et al. . Analysis and optimization method of monitoring capability of coal mine microseismic monitoring network [J]. Journal of Mine Automation, 2022, 48(7): 96-104(in Chinese)

[78] LiuJ, SiY, WeiD, et al. . Developments and prospects of microseismic monitoring technology in underground metal mines in China [J]. Journal of Central South University, 2021, 28(10): 3074-3098

[79] SunJ, ZhuT, FomelS, et al. Investigating the possibility of locating microseismic sources using distributed sensor networks [C], 2015, New Orleans, Louisiana, Society of Exploration Geophysicists

[80] AllenR. Automatic phase pickers: Their present use and future prospects [J]. Bulletin of the Seismological Society of America, 1982, 72(6B): S225-S242

[81] JiangR, DaiF, LiuY, et al. . A novel method for automatic identification of rock fracture signals in microseismic monitoring [J]. Measurement, 2021, 175109129

[82] JiaB, LiF, ZhouL, et al. . Joint arrival-time picking method of microseismic P-wave and S-wave based on time-frequency analysis [J]. Rock and Soil Mechanics, 2021, 42(5): 1253-1265

[83] ZhaoY, WangJ, PanY, et al. . Study on determining arrival times of microseismic P-wave based on quality optimization and normalized STA/LTA method [J]. Chinese Journal of Rock Mechanics and Engineering, 2022, 41(8): 1610-1625(in Chinese)

[84] TakanamiT, KitagawaG. Estimation of the arrival times of seismic waves by multivariate time series model [J]. Annals of the Institute of Statistical Mathematics, 1991, 43(3): 407-433

[85] LiJ, TangS, WengF, et al. . Waveform recognition and process interpretation of microseismic monitoring based on an improved LeNet5 convolutional neural network [J]. Journal of Central South University, 2023, 30(3): 904-918

[86] ZhengJ, CaoZ, JiangT, et al. . Deep belief neural network-based arrival picking for microseismic data [J]. Journal of Mining Science and Technology, 2018, 3(6): 521-526(in Chinese)

[87] ZhuM, ChengJ, ZhangZ. Quality control of microseismic P-phase arrival picks in coal mine based on machine learning [J]. Computers & Geosciences, 2021, 156104862

[88] TangS, WangJ, TangC. Identification of microseismic events in rock engineering by a convolutional neural network combined with an attention mechanism [J]. Rock Mechanics and Rock Engineering, 2021, 54(1): 47-69

[89] WangJ, TangS. Novel transfer learning framework for microseismic event recognition between multiple monitoring projects [J]. Rock Mechanics and Rock Engineering, 2022, 55(6): 3563-3582