PDF
Abstract
Microseismic monitoring technology has become an important technique to assess stability of rock mass in metal mines. Due to the special characteristics of underground metal mines in China, including the high tectonic stress, irregular shape and existence of ore body, and complex mining methods, the application of microseismic technology is more diverse in China compared to other countries, and is more challenging than in other underground structures such as tunnels, hydropower stations and coal mines. Apart from assessing rock mass stability and ground pressure hazards induced by mining process, blasting, water inrush and large scale goaf, microseismic technology is also used to monitor illegal mining, and track personnel location during rescue work. Moreover, microseismic data have been used to optimize mining parameters in some metal mines. The technology is increasingly used to investigate cracking mechanism in the design of rock mass supports. In this paper, the application, research development and related achievements of microseismic technology in underground metal mines in China are summarized. By considering underground mines from the perspective of informatization, automation and intelligentization, future studies should focus on intelligent microseismic data processing method, e.g., signal identification of microseismic and precise location algorithm, and on the research and development of microseismic equipment. In addition, integrated monitoring and collaborative analysis for rock mass response caused by mining disturbance will have good prospects for future development.
Keywords
underground metal mine
/
microseismic
/
safety management
/
rock mass stability
/
disaster warning
/
integrated monitoring
Cite this article
Download citation ▾
Jian-po Liu, Ying-tao Si, Deng-cheng Wei, Hong-xu Shi, Ren Wang.
Developments and prospects of microseismic monitoring technology in underground metal mines in China.
Journal of Central South University, 2021, 28(10): 3074-3098 DOI:10.1007/s11771-021-4839-y
| [1] |
MccrearyR, McgaugheyJ, PotvinY, EcobichonD, HudymaM, KanduthH, CoulombeA. Results from microseismic monitoring, conventional instrumentation, and tomography surveys in the creation and thinning of a burst-prone sill pillar. Pure and Applied Geophysics, 1992, 139(3): 349-373 4
|
| [2] |
MilevA M, SpottiswoodeS M, RorkeA J, FinnieG J. Seismic monitoring of a simulated rockburst on a wall of an underground tunnel. The Journal of the South African Institute of Mining and Metallurgy, 2001, 101: 253-260
|
| [3] |
UrbancicT I, TrifuC I. Recent advances in seismic monitoring technology at Canadian mines. Journal of Applied Geophysics, 2000, 45(4): 225-237
|
| [4] |
GeM-C. Efficient mine microseismic monitoring. International Journal of Coal Geology, 2005, 64(1): 44-56 2
|
| [5] |
LeśniakA, IsakowZ. Space-time clustering of seismic events and hazard assessment in the Zabrze-Bielszowice coal mine, Poland. International Journal of Rock Mechanics and Mining Sciences, 2009, 46(5): 918-928
|
| [6] |
HudymaM, PotvinY H. An engineering approach to seismic risk management in hardrock mines. Rock Mechanics and Rock Engineering, 2010, 43(6): 891-906
|
| [7] |
LiS-L, YinX-G, ZhengW-D, TrifuC. Research of multi-channel microseismic monitoring system and its application to Fankou lead-zinc mine. Chinese Journal of Rock Mechanics and Engineering, 2005, 24(12): 2048-2053
|
| [8] |
LiS-L. Discussion on microseismic monitoring technology and its applications to underground projects. Chinese Journal of Underground Space and Engineering, 2009, 5(1): 122-128
|
| [9] |
JiangF-X. Application of microseismic monitoring technology of strata fracturing in underground coal mine. Chinese Journal of Geotechnical Engineering, 2002, 24(2): 147-149
|
| [10] |
JiangF-X, YeG-X, WangC-W, ZhangD-Y, GuanY-Q. Application of high-precision microseismic monitoring technique to water inrush monitoring in coal mine. Chinese Journal of Rock Mechanics and Engineering, 2008, 27(9): 1932-1938
|
| [11] |
YangC-X, LuoZ-Q, TangL-Z. Study on rule of geostatic activity based on microseismic monitoring technique in deep mining. Chinese Journal of Rock Mechanics and Engineering, 2007, 26(4): 818-824
|
| [12] |
TangL-ZStudy on monitoring and prediction of seismicity and rockburst in a deep mine, 2008, Changsha, China, Central South University
|
| [13] |
ZhaoX-D, ShiC-Y, LiuJ-P, LiY. Microseismic monitoring system establishment and its application study in Hongtoushan copper mine. Journal of Northeastern University (Natural Science), 2008, 29(3): 399-402
|
| [14] |
LiuJ-PStudies on relationship between microseism time-space evolution and ground pressure activities in deep mine, 2011, Shenyang, China, Northeastern University
|
| [15] |
LiuJ-P, FengX-T, LiY-H, XuS-D, ShengY. Studies on temporal and spatial variation of microseismic activities in a deep metal mine. International Journal of Rock Mechanics and Mining Sciences, 2013, 60: 171-179
|
| [16] |
LiZ-L, DouL-M, WangG-F, CaiW, HeJ, DingY-L. Risk evaluation of rock burst through theory of static and dynamic stresses superposition. Journal of Central South University, 2015, 22(2): 676-683
|
| [17] |
CaoA-Y, DouL-M, LuoX, ZhengY-D, HuangJ-L, AndrewK. Seismic effort of blasting wave transmitted in coal-rock mass associated with mining operation. Journal of Central South University, 2012, 19(9): 2604-2610
|
| [18] |
MaK, SunX-Y, TangC-A, WangS-J, YuanF-Z, PengY-L, LiuK. An early warning method for water inrush in Dongjiahe coal mine based on microseismic moment tensor. Journal of Central South University, 2020, 27(10): 3133-3148
|
| [19] |
ChenB-F, FengX-T, ZengX-H, XiaoY-X, ZhangZ-T, MingH-J, FengG. Real-time microseismic monitoring and its characteristic analysis during TBM tunneling in deep-buried tunnel. Chinese Journal of Rock Mechanics and Engineering, 2011, 30(2): 275-283
|
| [20] |
FengX-T, ChenB-F, ZhangC-Q, LiS-J, WuS-YMechanism, warning and dynamic control of rockburst development process, 2013, Beijing, China, Science Press
|
| [21] |
FengG-L, FengX-T, ChenB-F, XiaoY-X. Microseismic sequences associated with rockbursts in the tunnels of the Jinping II hydropower station. International Journal of Rock Mechanics and Mining Sciences, 2015, 80: 89-100
|
| [22] |
XiaoY-X, FengX-T, FengG-L, LiuH-J, JiangQ, QiuS-L. Mechanism of evolution of stress-structure controlled collapse of surrounding rock in Caverns: A case study from the Baihetan hydropower station in China. Tunnelling and Underground Space Technology, 2016, 51: 56-67
|
| [23] |
DaiF, LiB, XuN-W, FanY-L, XuJ, LiuJ. Microseismic characteristic analysis of underground powerhouse at Baihetan hydropower station subjected to excavation. Chinese Journal of Rock Mechanics and Engineering, 2016, 35(4): 692-703
|
| [24] |
LiB, DingQ-F, XuN-W, LeiY-F, XuY, ZhuZ-P, LiuJ-F. Mechanical response and stability analysis of rock mass in high geostress underground powerhouse Caverns subjected to excavation. Journal of Central South University, 2020, 27(10): 2971-2984
|
| [25] |
MaK, TangC-A, LiL-C, LiH, XuN, XiaoP, YangJ-Y. Reinforcement effects of anti-shear gallery of dagangshan right bank slope based on microseismic monitoring and numerical simulations. Chinese Journal of Rock Mechanics and Engineering, 2013, 32(6): 1239-1247
|
| [26] |
MaK, TangC-A, XuN-W, LiuF, XuJ-W. Failure precursor of surrounding rock mass around cross tunnel in high-steep rock slope. Journal of Central South University, 2013, 20(1): 207-217
|
| [27] |
XuN-W, LiangZ-Z, TangC-A, DaiF, ZhouZ, ShaC. Three-dimensional feedback analysis of rock slope stability based on microseismic monitoring. Chinese Journal of Rock Mechanics and Engineering, 2014, 33(S1): 3093-3104
|
| [28] |
LiT, FengX-T, WangR, XiaoY-X, WangY, FengG-L, YaoZ-B, NiuW. Characteristics of rockburst location deflection and its microseismic activities in a deep tunnel. Rock and Soil Mechanics, 2019, 40(7): 2847-2854
|
| [29] |
CaiM-F, XueD-L, RenF-H. Current status and development strategy of metal mines. Chinese Journal of Engineering, 2019, 41(4): 417-426
|
| [30] |
WangY-M. Opportunities and challenges to metal mine mining industry and the technical countermeasures. Modern Mining, 2011, 27(1): 1-14
|
| [31] |
LiX-BRock dynamics fundamentals and applications, 2014, Beijing, China, Science Press
|
| [32] |
LiX-B, ZhouJ, WangS-F, LiuB. Review and practice of deep mining for solid mineral resources. The Chinese Journal of Nonferrous Metals, 2017, 27(6): 1236-1262
|
| [33] |
BuckleyR J, KittM P, WangD. Rock support in mines in Ontario. Mining Engineering, 1992, 18(1): 55-59
|
| [34] |
XiaoY-X, FengX-T, HudsonJ A, ChenB-F, FengG-L, LiuJ-P. ISRM suggested method for in situ microseismic monitoring of the fracturing process in rock masses. Rock Mechanics and Rock Engineering, 2016, 49(1): 343-369
|
| [35] |
FengX-T, XiaoY-X, FengG-L, YaoZ-B, ChenB-F, YangC-X, SuG-S. Study on the development process of rockbursts. Chinese Journal of Rock Mechanics and Engineering, 2019, 38(4): 649-673
|
| [36] |
LiG-KRockburst prediction based on neural network and microseismic information, 2011, Shenyang, China, Northeastern University
|
| [37] |
WangM-JStudy on comprehensive rockburst warning based on microseismic monitoring in Micangshan highway tunnel, 2016, Chengdu, China, Chengdu University of Tecnology
|
| [38] |
FengG-L, FengX-T, ChenB-F, XiaoY-X, YuY. A microseismic method for dynamic warning of rockburst development processes in tunnels. Rock Mechanics and Rock Engineering, 2015, 48(5): 2061-2076
|
| [39] |
ChenX-XApplication of microseismic monitoring technology in Piaotang tungsten mine, 2017, Ganzhou, China, Jiangxi University of Science and Technology
|
| [40] |
LiangW-Z, SariA, ZhaoG-Y, MckinnonS D, WuH. Short-term rockburst risk prediction using ensemble learning methods. Natural Hazards, 2020, 104(2): 1923-1946
|
| [41] |
LiS, GuoM-Z, KangW-Q. Prediction of coal mine microseismic hazard based on random forest method. Journal of Yunnan Minzu University (Natural Science Edition), 2015, 24(04): 315-319
|
| [42] |
KongD-QInvestigation on inoculation process and early warning of delayed rockburst in deep buried tunnel by acoustic and electrical monitoring, 2019, Dalian, China, Dalian University of Technology
|
| [43] |
LiS-RStudy of characteristics of mining induced seismicity in deep metal mine and rockburst prediction based on support vector machine, 2011, Changsha, China, Central South University
|
| [44] |
MengX-JStudy on multi-parameter prediction model of rockburst based on vibration signal information mining, 2014, Xuzhou, China, China University of Mining & amp; Technology
|
| [45] |
DouL-M, GongS-Y, LiuP, DingE-J, HuaG, HeJ, LiuP. Remote online early warning platform of mine seismic and bump disaster. Coal Science and Technology, 2015, 43(6): 48-53
|
| [46] |
MaT-H, TangC-A, TangL-X, ZhangW-D, WangL. Mechanism of rock burst forcasting based on micro-seismic monitoring technology. Chinese Journal of Rock Mechanics and Engineering, 2016, 35(3): 470-483
|
| [47] |
ZhangB-H, DengJ-H, GaoM-Z, ZhouZ-H, WuJ-C, WuS-H. Safety evaluation research based on microseismic monitoring in underground powerhouse of hydropower station. Chinese Journal of Rock Mechanics and Engineering, 2012, 31(5): 937-944
|
| [48] |
ZhangC-X, LiX-B, DongL-J, MaJ, HuangL-Q. Analysis of microseismic activity parameters pre- and post roof caving and early warning. Chinese Journal of Rock Mechanics and Engineering, 2016, 35(S1): 3214-3221
|
| [49] |
AkiK. Estimation of earthquake moment, released energy, and stress-strain drop from G wave spectrum. Bulletin of the Earthquake Research Institute, 1966, 44: 73-88
|
| [50] |
WyssM, BruneJ N. Seismic moment, stress, and source dimensions for earthquakes in the California-Nevada region. Journal of Geophysical Research, 1968, 73(14): 4681-4694
|
| [51] |
MendeckiD A JSeismic monitoring in mines, 1997, London, United Kingdom, Chapman & amp; Hall
|
| [52] |
TangL-Z, WangL-H, ZhangJ, LiX-B. Seismic apparent stress and deformation in a deep mine under large-scale mining and areal hazardous seismic prediction. Chinese Journal of Rock Mechanics and Engineering, 2011, 30(6): 1168-1178
|
| [53] |
MaC-C, LiT-B, ZhangH, WangJ. An evaluation and early warning method for rockburst based on EMS microseismic source parameters. Rock and Soil Mechanics, 2018, 39(2): 765-774
|
| [54] |
LiuJ-P, XuS-D, LiY-H, LeiG. Analysis of rock mass stability based on mining-induced seismicity: A case study at the Hongtoushan copper mine in China. Rock Mechanics and Rock Engineering, 2019, 52(1): 265-276
|
| [55] |
SuG-S, GanW, ZhaiS-B, ZhaoG-F. Acoustic emission precursors of static and dynamic instability for coarse-grained hard rock. Journal of Central South University, 2020, 27(10): 2883-2898
|
| [56] |
LiX-B, YaoJ-F, GongF-Q. Dynamic problems in deep exploitation of hard rock metal mines. The Chinese Journal of Nonferrous Metals, 2011, 21(10): 2551-2563
|
| [57] |
ShenJ-H, WangL-S, WangQ-H, XuJ, JiangY-S, SunB-J. Deformation and fracture features of unloaded rock mass. Chinese Journal of Rock Mechanics and Engineering, 2003, 22(12): 2028-2031
|
| [58] |
LuW-B, YangJ-H, ChenM, ZhouC-B. Mechanism and equivalent numerical simulation of transient release of excavation load for deep tunnel. Chinese Journal of Rock Mechanics and Engineering, 2011, 30(6): 1089-1096
|
| [59] |
YangZ-G, ZhaoS-F, WangL-H. Study on rule of mining based on microseismic monitoring in deep stope. China Mining Magazine, 2010, 19(2): 107-110
|
| [60] |
TangL-Z, ZhangJ, LiX-B, WangL-H, ZhouJ-X, LiuT. Research on response of mine microseismicity to mining rate based on quantitative seismology. Chinese Journal of Rock Mechanics and Engineering, 2012, 31(7): 1349-1354
|
| [61] |
MartinoJ B, ChandlerN A. Excavation-induced damage studies at the Underground Research Laboratory. International Journal of Rock Mechanics and Mining Sciences, 2004, 41(8): 1413-1426
|
| [62] |
DoernerC A CQuantifying the effect of rock mass quality on peal particle velocity for underground drift development, 2011, Vancouver, Canada, University of British Columbia
|
| [63] |
JiangN, ZhouC-B, LuoX-D, LuS-W. Damage characteristics of surrounding rock subjected to VCR mining blasting shock. Shock and Vibration, 2015, 2015: 1-8
|
| [64] |
GuoR, PanC-L, YuR-CMining theory and technology of hard rock deposits with rockburst tendency, 2003, Beijing, China, Metallurgical press
|
| [65] |
TianW, ZhangJ, JiaM-T. Study on correlation between microseismic activity and blasting disturbance. Hunan Nonferrous Metals, 2019, 35(4): 1-6
|
| [66] |
HuY-J, LiS-L, LiF, PengF-H, YuanJ-P, ChenJ-J. Study on the characteristics of large blast induced aftershock based on microseismic monitoring. Mining Technology, 2011, 11(6): 100-104
|
| [67] |
LiuJ-P, LiY-H, ZhangF-P, XuS-D, ShiC-Y, HeR-X. Stability analysis of rockmass based on acoustic emission monitoring in deep stope. Journal of Mining and Safety Engineering, 2013, 30(2): 243-250
|
| [68] |
LiuX-H, WuA-X, WangC-L, WangH-J, WangY-M. Study on rock burst forecasting prediction in A deep mine. Journal of Mining & amp; Safety Engineering, 2012, 29(1): 78-83
|
| [69] |
YangZ-G, YuR-C, GuoR, WangL-H. Research of mining based on microseismic monitoring technology in high-stress area. Chinese Journal of Rock Mechanics and Engineering, 2009, 28(S2): 3632-3638
|
| [70] |
FengX-T, LiuJ-P, ChenB-F, XiaoY-X, FengG-L, ZhangF-P. Monitoring, warning, and control of rockburst in deep metal mines. Engineering, 2017, 3(4): 538-545
|
| [71] |
LiuJ-P, LiY-H, XuS-D. Relationship between microseismic activities and mining parameters during deep mining process. Journal of Applied Geophysics, 2018, 159: 814-823
|
| [72] |
GibowiczS J, YoungR P, TalebiS, RawlenceD J. Source parameters of seismic events at the underground research laboratory in Manitoba, Canada: Scaling relations for events with moment magnitude smaller than-2. Bulletin of the Seismological Society of America, 1991, 81: 1157-1182
|
| [73] |
BoatwrightJ, FletcherJ B. The partition of radiated energy between P and S waves. Bulletin of the Seismological Society of America, 1984, 74: 361-376
|
| [74] |
CaiM, KaiserP K, MartinC D. A tensile model for the interpretation of microseismic events near underground openings. Pure and Applied Geophysics, 1998, 153(1): 67-92
|
| [75] |
XuN W, DaiF, LiangZ Z, ZhouZ, ShaC, TangC A. The dynamic evaluation of rock slope stability considering the effects of microseismic damage. Rock Mechanics and Rock Engineering, 2014, 47(2): 621-642
|
| [76] |
ZhaoJ-S, FengX-T, JiangQ, ChenB-F, XiaoY-X, HuL, FengG-L, LiP-X. Analysis of microseismic characteristics and stability of underground Caverns in hard rock with high stress using framing excavation method. Rock and Soil Mechanics, 2018, 39(3): 1020-10261081
|
| [77] |
GilbertF. Excitation of the normal modes of the earth by earthquake sources. Geophysical Journal of the Royal Astronomical Society, 1971, 22(2): 223-226
|
| [78] |
OhtsuM. Simplified moment tensor analysis and unified decomposition of acoustic emission source: Application to in situ hydrofracturing test. Journal of Geophysical Research: Solid Earth, 1991, 96(B4): 6211-6221
|
| [79] |
FeignierB, YoungR P. Moment tensor inversion of induced microseisnmic events: Evidence of non-shear failures in the − 4 < M < − 2 moment magnitude range. Geophysical Research Letters, 1992, 19(14): 1503-1506
|
| [80] |
ChangS H, LeeC I. Estimation of cracking and damage mechanisms in rock under triaxial compression by moment tensor analysis of acoustic emission. International Journal of Rock Mechanics and Mining Sciences, 2004, 41(7): 1069-1086
|
| [81] |
MantheiG, EisenblätterJ, DahmT. Moment tensor evaluation of acoustic emission sources in salt rock. Construction and Building Materials, 2001, 15(5): 297-309 6
|
| [82] |
MingH-J, FengX-T, ZhangC-Q, XiaoY-X. Moment tensor analysis of attitude characterization of hard rock newborn fracture surface based on microseismic informations. Rock and Soil Mechanics, 2013, 34(6): 1716-1722
|
| [83] |
LiuJ-P, LiY-H, XuS-D, XuS, JinC-Y, LiuZ-S. Moment tensor analysis of acoustic emission for cracking mechanisms in rock with a pre-cut circular hole under uniaxial compression. Engineering Fracture Mechanics, 2015, 135: 206-218
|
| [84] |
WuS-C, HuangX-Q, ChenF, ChaiJ-F, WuH-Y. Moment tensor inversion of rock failure and its application. Rock and Soil Mechanics, 2016, 37(S1): 1-18
|
| [85] |
LiS-L, LinK-F, ZhouM-J, ZhangJ-L, HongY, HuJ-Y, PengF-H. Study on failure precursors and seismogenic mechanisms of a large landslide based on moment tensor anslysis. Chinese Journal of Rock Mechanics and Engineering, 2019, 38(10): 2000-2009
|
| [86] |
MaJ, DongL-J, ZhaoG-Y, LiX-B. Focal mechanism of mining-induced seismicity in fault zones: A case study of yongshaba mine in China. Rock Mechanics and Rock Engineering, 2019, 52(9): 3341-3352
|
| [87] |
TangL-Z, JianY-H, LiD-Y, WangC, DengL-F, ChenY. Analysis of damage mechanism for surrounding rock based on microseismic moment tensor. Rock and Soil Mechanics, 2017, 38(5): 1436-1444
|
| [88] |
WangQ-M, XuB-G, TangS-H, XieC-J, BaoA-H. The actual state of mined-out areas in metallic and nonmetallic mines and the countermeasures for the treatment of the mined-out areas in China. Mining Research and Development, 2009, 29(4): 63-68
|
| [89] |
LiuH-L, WangW-P, HeC-Y, SunG-Q, XiaoY-G. Present situation and development trend of goaf treatment technology in metal and non-metal underground mines. Modern Mining, 2018, 34(6): 1-712
|
| [90] |
ZhangF, LiuD-F, ZhangH, JianY-F, LiuX-C, HuangK. Location accuracy analysis of the seismic events based on the IMS microseismic monitoring system. Journal of Safety Science and Technology, 2013, 9(6): 21-26
|
| [91] |
ChenX-J, LiuJ, ZhaoZ-W. Preliminary application of microseismic monitoring warning in complex multilayered gob. China Mining Engineering, 2015, 44(2): 6-818
|
| [92] |
ZhangJ, WangL-G, ZhangJ-G. Study on hidden danger control and microseismic monitoring technology of goaf in the lead-zinc mine. China Mine Engineering, 2018, 47(5): 22-25
|
| [93] |
WangXResearch of microsismic monitoring technology and application on shallow gob stability, 2017, Changsha, China, Changsha Institute of Mining Research
|
| [94] |
LiS-L, HuJ-Y, ZhouA-M, LinF, YuZ-F. Comprehensive research on character of collapse and fracture of thick and large overburden rock in cave mining. Chinese Journal of Rock Mechanics and Engineering, 2016, 35(9): 1729-1739
|
| [95] |
MaoD-B, ChenF-B. Fault activation rules influenced by mining and prevention of rock-burst. Coal Mining Technology, 2013, 18(1): 73-76
|
| [96] |
ZhangD, ZhangX-P, ZhangJ, CaiY-S, WangP. Study on fault activity in mining area based on micro-seismic monitoring technology. Nonferrous Metals (Mining Section), 2014, 66(5): 1-5
|
| [97] |
ZhangP-H, YangT-H, YuQ-L, XuT, ZhuW-C, LiuH-L, ZhouJ-F, ZhaoY-C. Microseismicity induced by fault activation during the fracture process of a crown pillar. Rock Mechanics and Rock Engineering, 2015, 48(4): 1673-1682
|
| [98] |
XieJ-MThe law of mining induced fault activation and micro-seismic monitoring research, 2015, Ganzhou, China, Jiangxi University of Science and Technology
|
| [99] |
LiuJ-P, LiuZ-S, WangS-Q, ShiC-Y, LiY-H. Analysis of microseismic activity in rock mass controlled by fault in deep metal mine. International Journal of Mining Science and Technology, 2016, 26(2): 235-239
|
| [100] |
BiH-T, WangC-W, LiW. The study of microseismic monitoring on rock failure and disaster-induced in gold mining undersea. Gold Science and Technology, 2010, 18(5): 52-55
|
| [101] |
LiuC, TangC-A, LiL-C, LiangZ-Z, ZhangS-J. Analysis of probability of water inrush from grout curtain based on background stress field and microseismicity. Chinese Journal of Rock Mechanics and Engineering, 2009, 28(2): 366-372
|
| [102] |
PengF-H, LiS-L, LengX-N, ChengC, LiuD-C. Study of influence of rainfall permeation on shallow stope stability by microseismic monitoring. Chinese Journal of Rock Mechanics and Engineering, 2016, 35(S2): 4154-4163
|
| [103] |
LiuC, LiS-G, WangH-S, LiuJ-K. Experimental study on mine dynamic disaster rescue based on ESG microseismic monitoring system. China Safety Science Journal, 2013, 23(3): 125-129
|
| [104] |
NAN Shi-qing, LI Fu-ping, HAN Rui-liang, GUO Xian-zhang, SU Ming, WAN Xiao-jun. On monitoring mining disorder activity with microseismic monitoring technology [J]. Metal Mine, 2011(4): 141–143, 148. (in Chinese)
|
| [105] |
ZhangJ, ZhangD, ZhangX-P, YuL-W. Study on hypocentral location of private mining based on microseismic monitoring technology. Nonferrous Metals (Mining Section), 2014, 66(4): 83-86
|
| [106] |
FedorovV V. Regression problems with controllable variables subject to error. Biometrika, 1974, 61(1): 49-56
|
| [107] |
ZhaoX-D, LiuJ-P, LiY-H, TianJ, ZhuW-C. Experimental verification of rock locating technique with acoustic emission. Chinese Journal of Geotechnical Engineering, 2008, 30(10): 1472-1476
|
| [108] |
LinF, LiS-L, XueY-L, XuH-B. Microseismic source location methods based on different initial values. Chinese Journal of Rock Mechanics and Engineering, 2010, 29(5): 996-1002
|
| [109] |
RabinowitzN, KulhánekO. Application of a nonlinear algorithm to teleseismic locations using P-wave readings from the Swedish seismographic network. Physics of the Earth and Planetary Interiors, 1988, 50(2): 111-115
|
| [110] |
LiuJ-P, XuS-D, LiY-H, DongL-B, WeiJ. Studies of ae time-space evolution characteristics during failure process of rock specimens with prefabricated holes. Chinese Journal of Rock Mechanics and Engineering, 2012, 31(12): 2538-2547
|
| [111] |
LiH-Y, JiangF-X, YangS-H. Research and application of microseismic monitoring location of strata fracturing based on Matlab. Journal of China Coal Society, 2006, 31(2): 154-158
|
| [112] |
SmithE G C. Scaling the equations of condition to improve conditioning. Bulletin of the Seismological Society of America, 1976, 66(6): 2075-2076
|
| [113] |
AndersonK R. Robust earthquake location using M-estimates. Physics of the Earth and Planetary Interiors, 1982, 30(2): 119-130
|
| [114] |
KennettB L N, SambridgeM S. Earthquake location — Genetic algorithms for teleseisms. Physics of the Earth and Planetary Interiors, 1992, 75(1–3): 103-110
|
| [115] |
XieZ, SpencerT W, RabinowitzP D, FahlquistD A. A new regional hypocenter location method. Bulletin of the Seismological Society of America, 1996, 86(4): 946-958
|
| [116] |
ChenB-F, FengX-T, LiS-L, YuanJ-P, XuS-C. Microseism source location with hierarchical strategy based on particle swarm optimization. Chinese Journal of Rock Mechanics and Engineering, 2009, 28(4): 740-749
|
| [117] |
DongL-J, LiX-B, TangL-Z, GongF-Q. Mathematical functions and parameters for microseismic source location without pre-measuring speed. Chinese Journal of Rock Mechanics and Engineering, 2011, 30(10): 2057-2067
|
| [118] |
BisratS, DeshonH R, RoweC. Microseismic swarm activity in the new Madrid seismic zone. Bulletin of the Seismological Society of America, 2012, 102(3): 1167-1178
|
| [119] |
LüJ-G, JiangY-D, ZhaoY-X, ZhuJ, WangX, TaoL. Study of microseismic positioning based on steady simulated annealing-simplex hybrid algorithm. Rock and Soil Mechanics, 2013, 34(8): 2195-2203
|
| [120] |
ZhuQ-J, JiangF-X, MiaoH-X, WuY-K, LiuX-H. Quadratic optimization of mining microseismic source positioning based on cluster analysis. Journal of Mining & amp; Safety Engineering, 2014, 31(2): 196-202
|
| [121] |
LiN, WangE-Y, SunZ-Y, LiB-L. Simplex microseismic source location method based on L1 norm statistical standard. Journal of China Coal Society, 2014, 39(12): 2431-2438
|
| [122] |
WangQ-D, LiG-H, WuW-J, HongY-F, LiuZ-Y, ChengY. Application of multiple-population genetic algorithm in micro-seismic source location. Computer Measurement & amp; Control, 2015, 23(4): 1285-1288
|
| [123] |
ChengJ-L, SongG-D, SunX-Y, WenL-F, LiF. Research developments and prospects on microseismic source location in mines. Engineering, 2018, 4(5): 653-660
|
| [124] |
ChengJ-L, SongG-D, SunX-Y, WenL-F, LiF. Research developments and prospects on microseismic source location in mines. Engineering, 2018, 4(5): 159-174
|
| [125] |
ZhaoZ-G, GrossL. Using supervised machine learning to distinguish microseismic from noise events. SEG Technical Program Expanded Abstracts 2017, 2017, Houston, Texas, USA, Society of Exploration Geophysicists, 29182923
|
| [126] |
ZhouZ-L, ChengR-S, ChenL-J, ZhouJ, CaiX. An improved joint method for onset picking of acoustic emission signals with noise. Journal of Central South University, 2019, 26(10): 2878-2890
|
| [127] |
DongL-J, TangZ, LiX-B, ChenY-C, XueJ-C. Discrimination of mining microseismic events and blasts using convolutional neural networks and original waveform. Journal of Central South University, 2020, 27(10): 3078-3089
|
| [128] |
XiaoY-X, FengX-T, ChenB-F, FengG-LMicroseismic monitoring method of the rockburst evolution process, 2018, Amsterdam, Netherland, Elsevier, 301315
|