1 Localization and Discrimination of Microseismic/AE Sources …
15
the abnormal arrivals can be filtered through the collaborative localization method
using analytical and iterative solutions (CLMAI). The localization method based
on the improved A* search algorithm without premeasured velocity (ALM) was
proposed for localization in the complex hole-containing structure. Four discrimination methods were proposed for classifying microseismic events and blasts, which
solved the situation of relying on artificial identification. Meanwhile, the full waveform inversion methods were used to investigate the different microseismic source
mechanisms in a more quantitative way. Suggestions on the support of rockmass
considering PGA and PGV calculated by full waveform inversion were proposed.
The seismic sequence for detecting changes in statistical parameters before the
main shocks is also analyzed. Finally, three parameters related to the precursor of
large magnitude events were summarized, which can provide theoretical support for
disaster early warning.
References
1. X. Feng, J. Liu, B. Chen, Y. Xiao, G. Feng, F. Zhang, Monitoring, warning, and control of
rockburst in deep metal mines. Engineering 3(4), 538–545 (2017)
2. X. Lei, S. Ma, Laboratory acoustic emission study for earthquake generation process. Earthq.
Sci. 27(6), 627–646 (2014)
3. A.M. Milev, S.M. Spottiswoode, A.J. Rorke, G.J. Finnie, Seismic monitoring of a simulated
rockburst on a wall of an underground tunnel. J. South. Afr. Inst. Min. Metall 101(5), 253–260
(2001)
4. H. Wang, M. Ge, Acoustic emission/microseismic source location analysis for a limestone
mine exhibiting high horizontal stresses. J. Rock Mech. Min. Sci. 45(5), 720–728 (2008)
5. A. Hirata, Y. Kameoka, T. Hirano, Safety management based on detection of possible rock
bursts by AE monitoring during tunnel excavation. Rock Mech. Rock. Eng. 40(6), 563–576
(2007)
6. L. Li, J. Tan, D.A. Wood, Z. Zhao, D. Becker, Q. Lyu, B. Shu, H. Chen, A review of the current
status of induced seismicity monitoring for hydraulic fracturing in unconventional tight oil and
gas reservoirs. Fuel 242, 195–210 (2019)
7. M. Ge, Efficient mine microseismic monitoring. Int. J. Coal Geol. 64(1–2), 44–56 (2005)
8. R.J. Durrheim, Mitigating the risk of rockbursts in the deep hard rock mines of South Africa:
100 years of research. Extracting the Science: a century of mining research, in Society for
Mining, Metallurgy, and Exploration, Inc, ed. by J. Brune, pp. 156–171 (2010)
9. L.J. Dong, W.W. Shu, X.B. Li, G.J. Han, W. Zou, Three dimensional comprehensive analytical
solutions for locating sources of sensor networks in unknown velocity mining system. IEEE
Access 5, 11337–11351 (2017)
10. L. Dong, W. Zou, X. Li, et al., Collaborative localization method using analytical and iterative
solutions for microseismic/acoustic emission sources in the rockmass structure for underground
mining. Eng. Fracture Mech. S0013794417312997 (2019)
11. L. Dong, X. Li, A microseismic/acoustic emission source location method using arrival times
of PS waves for unknown velocity system. Int J Distrib Sens Netwo 9(10), 307489 (2013)
12. Q. Hu, L. Dong, Acoustic emission source location and experimental verification for twodimensional irregular complex structure. IEEE Sens J 20 (5):2679–2691
13. L. Dong, H. Qingchun, X. Tong, Y. Liu, Velocity-free MS/AE source location method for
three-dimensional hole-containing structures. Eng 6(7), 827–834 (2020)
14. Y. Potvin, Strategies and tactics to control seismic risks in mines. J. Southern African Inst.
Mining Metallurgy 109(3), 177 (2009)
15
the abnormal arrivals can be filtered through the collaborative localization method
using analytical and iterative solutions (CLMAI). The localization method based
on the improved A* search algorithm without premeasured velocity (ALM) was
proposed for localization in the complex hole-containing structure. Four discrimination methods were proposed for classifying microseismic events and blasts, which
solved the situation of relying on artificial identification. Meanwhile, the full waveform inversion methods were used to investigate the different microseismic source
mechanisms in a more quantitative way. Suggestions on the support of rockmass
considering PGA and PGV calculated by full waveform inversion were proposed.
The seismic sequence for detecting changes in statistical parameters before the
main shocks is also analyzed. Finally, three parameters related to the precursor of
large magnitude events were summarized, which can provide theoretical support for
disaster early warning.
References
1. X. Feng, J. Liu, B. Chen, Y. Xiao, G. Feng, F. Zhang, Monitoring, warning, and control of
rockburst in deep metal mines. Engineering 3(4), 538–545 (2017)
2. X. Lei, S. Ma, Laboratory acoustic emission study for earthquake generation process. Earthq.
Sci. 27(6), 627–646 (2014)
3. A.M. Milev, S.M. Spottiswoode, A.J. Rorke, G.J. Finnie, Seismic monitoring of a simulated
rockburst on a wall of an underground tunnel. J. South. Afr. Inst. Min. Metall 101(5), 253–260
(2001)
4. H. Wang, M. Ge, Acoustic emission/microseismic source location analysis for a limestone
mine exhibiting high horizontal stresses. J. Rock Mech. Min. Sci. 45(5), 720–728 (2008)
5. A. Hirata, Y. Kameoka, T. Hirano, Safety management based on detection of possible rock
bursts by AE monitoring during tunnel excavation. Rock Mech. Rock. Eng. 40(6), 563–576
(2007)
6. L. Li, J. Tan, D.A. Wood, Z. Zhao, D. Becker, Q. Lyu, B. Shu, H. Chen, A review of the current
status of induced seismicity monitoring for hydraulic fracturing in unconventional tight oil and
gas reservoirs. Fuel 242, 195–210 (2019)
7. M. Ge, Efficient mine microseismic monitoring. Int. J. Coal Geol. 64(1–2), 44–56 (2005)
8. R.J. Durrheim, Mitigating the risk of rockbursts in the deep hard rock mines of South Africa:
100 years of research. Extracting the Science: a century of mining research, in Society for
Mining, Metallurgy, and Exploration, Inc, ed. by J. Brune, pp. 156–171 (2010)
9. L.J. Dong, W.W. Shu, X.B. Li, G.J. Han, W. Zou, Three dimensional comprehensive analytical
solutions for locating sources of sensor networks in unknown velocity mining system. IEEE
Access 5, 11337–11351 (2017)
10. L. Dong, W. Zou, X. Li, et al., Collaborative localization method using analytical and iterative
solutions for microseismic/acoustic emission sources in the rockmass structure for underground
mining. Eng. Fracture Mech. S0013794417312997 (2019)
11. L. Dong, X. Li, A microseismic/acoustic emission source location method using arrival times
of PS waves for unknown velocity system. Int J Distrib Sens Netwo 9(10), 307489 (2013)
12. Q. Hu, L. Dong, Acoustic emission source location and experimental verification for twodimensional irregular complex structure. IEEE Sens J 20 (5):2679–2691
13. L. Dong, H. Qingchun, X. Tong, Y. Liu, Velocity-free MS/AE source location method for
three-dimensional hole-containing structures. Eng 6(7), 827–834 (2020)
14. Y. Potvin, Strategies and tactics to control seismic risks in mines. J. Southern African Inst.
Mining Metallurgy 109(3), 177 (2009)