Skip to main content
SpringerLink
Log in

An Inverted Heterogeneous Velocity Model for Microseismic Source Location in Deep Buried Tunnels

  • Original Paper
  • Published:
Rock Mechanics and Rock Engineering Aims and scope Submit manuscript

Abstract

Microseismic (MS) monitoring is an effective and widely applied technology for early warning and prevention of rockburst disasters in deeply buried tunnels. The location of the microseismic source is the top priority of MS monitoring. However, an unknown complex and consistently changing velocity distribution of surrounding rocks is a major challenge for accurate MS source location. A real-time velocity inversion method of monitoring areas during tunnel drilling is urgently needed to provide a newly updated heterogenous velocity model. This paper develops a velocity inversion strategy for surrounding rocks using drilling and blasting seismic data. Inverted heterogeneous velocity models can be obtained at multiple construction stages with drilling. An L2 norm double-difference location method based on the simplex optimization method is provided for MS location using heterogeneous velocity models. Numerical studies test the accuracy of the proposed velocity inversion and MS location method. Noticeable improvement in location accuracy can be observed using updating inverted heterogeneous velocity models. Finally, we conducted a field experiment at two new tunnels with a burial depth of 2400 m in the China Jinping Underground Laboratory Phase II. Multiple blasting sources with known coordinates verified the performance of the proposed MS location method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20

Similar content being viewed by others

Data Availability

Data associated with this research are available and can be obtained by contacting the corresponding author.

References

  • Bohlen T (2002) Parallel 3-D viscoelastic finite difference seismic modelling. Comput Geosci 28(8):887–899

    Article  Google Scholar 

  • Castellanos F, Van der Baan M (2015) Dynamic triggering of microseismicity in a mine setting. Geophys J Int 202(2):728–737

    Article  Google Scholar 

  • Chen BR, Li T, Zhu XH et al (2021) Microseismic source location method based on a velocity model database and statistical analysis. Arab J Geosci 14(19):1–16

    Article  Google Scholar 

  • Collins DS, Toya Y, Pinnock I et al (2014) 3D velocity model with complex geology and voids for microseismic location and mechanism. In: Deep mining 2014: Proceedings of the seventh international conference on deep and high stress mining. Australian Centre for Geomechanics, 2014, pp 681–688

  • Czarny R, Malinowski M, Chamarczuk M et al (2021) Dispersive seismic waves in a coal seam around the roadway in the presence of excavation damaged zone. Int J Rock Mech Min Sci 148:104937

    Article  Google Scholar 

  • Dai F, Li B, Xu N et al (2017) Microseismic monitoring of the left bank slope at the Baihetan hydropower station. China Rock Mech Rock Eng 50(1):225–232

    Article  Google Scholar 

  • Dai F, Jiang P, Xu N et al (2018) Focal mechanism determination for microseismic events and its application to the left bank slope of the Baihetan hydropower station in China. Environ Earth Sci 77(7):1–15

    Article  Google Scholar 

  • Dong L, Zou W, Li X et al (2019) Collaborative localization method using analytical and iterative solutions for microseismic/acoustic emission sources in the rockmass structure for underground mining. Eng Fract Mech 210:95–112

    Article  Google Scholar 

  • Dong L, Hu Q, Tong X et al (2020) Velocity-free MS/AE source location method for three-dimensional hole-containing structures. Engineering 6(7):827–834

    Article  Google Scholar 

  • Dong L, Pei Z, Xie X et al (2022) Early identification of abnormal regions in rock-mass using traveltime tomography. Engineering

  • Feng GL, Feng XT, Chen BR et al (2015a) Sectional velocity model for microseismic source location in tunnels. Tunn Undergr Space Technol 45:73–83

    Article  Google Scholar 

  • Feng GL, Feng XT, Chen BR et al (2015b) A microseismic method for dynamic warning of rockburst development processes in tunnels. Rock Mech Rock Eng 48(5):2061–2076

    Article  Google Scholar 

  • Feng GL, Feng XT, Xiao YX et al (2019) Characteristic microseismicity during the development process of intermittent rockburst in a deep railway tunnel. Int J Rock Mech Min Sci 124:104135

    Article  Google Scholar 

  • Gajek W, Malinowski M (2021) Errors in microseismic events locations introduced by neglecting anisotropy during velocity model calibration in downhole monitoring. J Appl Geophys 184:104222

    Article  Google Scholar 

  • Geiger L (1912) Probability method for the determination of earthquake epicenters from the arrival time only. Bull St Louis Univ 8(1):56–71

    Google Scholar 

  • Gregor J, Benson T (2008) Computational analysis and improvement of SIRT. IEEE Trans Med Imaging 27(7):918–924

    Article  Google Scholar 

  • Haney MM, Tsai VC (2017) Perturbational and nonperturbational inversion of Rayleigh-wave velocitiesInversion of Rayleigh-wave velocities. Geophysics 82(3):F15–F28

    Article  Google Scholar 

  • He YF, Chen WT, Chen XF (2006) Normal modes computation by generalized reflection-transmission coefficients method in planar layered half space. Chin J Geophys 49(4):965–973

    Article  Google Scholar 

  • Hu Q, Dong L (2019) Acoustic emission source location and experimental verification for two-dimensional irregular complex structure. IEEE Sens J 20(5):2679–2691

    Article  Google Scholar 

  • Jiang R, Dai F, Liu Y et al (2021) Fast marching method for microseismic source location in cavern-containing rockmass: performance analysis and engineering application. Engineering 7(7):1023–1034

    Article  Google Scholar 

  • Kausel E, Roësset JM (1981) Stiffness matrices for layered soils. Bull Seismol Soc Am 71(6):1743–1761

    Article  Google Scholar 

  • King A, Talebi S (2007) Anisotropy effects on microseismic event location. Pure Appl Geophys 164(11):2141–2156

    Article  Google Scholar 

  • Kroon D-J (2021) Accurate fast marching, MATLAB central file exchange. Retrieved 28 Sept 2021

  • Leighton F, Blake W (1970) Rock noise source location techniques. US Department of Interior, Bureau of Mines, 1970

  • Leparoux D, Côte P, Gélis C (2012) EDZ characterization with surface wave analysis: an experimental and numerical study for defining feasibility in the context of the Tournemire platform (France). Near Surf Geophys 10(5):401–411

    Article  Google Scholar 

  • Li M, Li S, Xiao Y (2011) Rockburst monitoring and dynamic prevention of enlarging excavation in deep underground laboratory. J Eng Geol 30(3):751–759

    Google Scholar 

  • Li S, Feng XT, Li Z et al (2012) In situ monitoring of rockburst nucleation and evolution in the deeply buried tunnels of Jinping II hydropower station. Eng Geol 137:85–96

    Article  Google Scholar 

  • Li S, Feng XT, Wang CY et al (2013) ISRM suggested method for rock fractures observations using a borehole digital optical televiewer. Rock Mech Rock Eng 46(3):635–644

    Article  Google Scholar 

  • Li N, Wang E, Ge M et al (2014) A nonlinear microseismic source location method based on Simplex method and its residual analysis. Arab J Geosci 7(11):4477–4486

    Article  Google Scholar 

  • Li N, Wang EY, Ge MC (2017) Microseismic monitoring technique and its applications at coal mines: present status and future prospects. J China Coal Soc 42(S1):83–96

    Google Scholar 

  • Li S, Zheng M, Qiu S et al (2021) Characteristics of excavation disasters and long-term in-situ mechanical behavior of the tunnels in the China Jinping underground laboratory. J Tsinghua Univ (sci Technol) 61(8):842–852

    Google Scholar 

  • Liu L, Wang Y (2021) Perturbational inversion of fundamental mode Rayleigh wave dispersion curve. In: SEG/AAPG/SEPM first international meeting for applied geoscience & energy. OnePetro, 2021

  • Ma C, Jiang Y, Li T (2019) Gravitational search algorithm for microseismic source location in tunneling: performance analysis and engineering case study. Rock Mech Rock Eng 52(10):3999–4016

    Article  Google Scholar 

  • Ma K, Sun X, Zhang Z et al (2022) Intelligent location of microseismic events based on a fully convolutional neural network (FCNN). Rock Mech Rock Eng 1–17

  • Moler CB, Stewart GW (1973) An algorithm for generalized matrix eigenvalue problems. SIAM J Numer Anal 10(2):241–256

    Article  Google Scholar 

  • Nelder JA, Mead R (1965) A simplex method for function minimization. Comput J 7(4):308–313

    Article  Google Scholar 

  • Park CB, Miller RD, Xia J (1998) Imaging dispersion curves of surface waves on multi-channel record. SEG technical program expanded abstracts 1998. Society of Exploration Geophysicists, 1998, pp 1377–1380

  • Pei D, Quirein JA, Cornish BE et al (2009) Velocity calibration for microseismic monitoring: a very fast simulated annealing (VFSA) approach for joint-objective optimization. Geophysics 74(6):WCB47–WCB55

  • Prugger AF, Gendzwill DJ (1988) Microearthquake location: a nonlinear approach that makes use of a simplex stepping procedure. Bull Seismol Soc Am 78(2):799–815

    Article  Google Scholar 

  • Pu Y, Chen J, Jiang D et al (2022) Improved method for acoustic emission source location in rocks without prior information. Rock Mech Rock Eng 1–15

  • Sei A, Symes WW (1994) Gradient calculation of the traveltime cost function without ray tracing. SEG technical program expanded abstracts 1994. Society of Exploration Geophysicists, 1994, pp 1351–1354

  • Taillandier C, Noble M, Chauris H et al (2009) First-arrival traveltime tomography based on the adjoint-state method. Geophysics 74(6):WCB1–WCB10

  • Thurber CH (1985) Nonlinear earthquake location: theory and examples. Bull Seismol Soc Am 75(3):779–790

    Article  Google Scholar 

  • Waldhauser F, Ellsworth WL (2000) A double-difference earthquake location algorithm: method and application to the northern Hayward fault, California. Bull Seismol Soc Am 90(6):1353–1368

    Article  Google Scholar 

  • Xiao YX, Feng XT, Hudson JA et al (2016) ISRM suggested method for in situ microseismic monitoring of the fracturing process in rock masses. Rock Mech Rock Eng 49(1):343–369

    Article  Google Scholar 

  • Xu Y, Xia J, Miller RD (2007) Numerical investigation of implementation of air-earth boundary by acoustic-elastic boundary approach. Geophysics 72(5):SM147–SM153

  • Yao ZS, Roberts RG, Tryggvason A (1999) Calculating resolution and covariance matrices for seismic tomography with the LSQR method. Geophys J Int 138(3):886–894

    Article  Google Scholar 

  • Zhao H (2005) A fast sweeping method for eikonal equations. Math Comput 74(250):603–627

    Article  Google Scholar 

  • Zheng M, Li S, Zhao H et al (2021) Probabilistic analysis of tunnel displacements based on correlative recognition of rock mass parameters. Geosci Front 12(4):101136

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to gratefully acknowledge the support of the National Natural Science Foundation of China (Grant nos. 42172317 and 42207211) and the Innovation Group Project of the Natural Science Foundation of Hubei Province (ZRQT2020000114).

Author information

Authors and Affiliations

  1. State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, 430071, China

    Liu Liu, Shaojun Li, Yaxun Xiao, Shujie Chen, Zhaofeng Wang & Guangliang Feng

  2. Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL, 32611, USA

    Yao Wang

Authors
  1. Liu Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shaojun Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yaxun Xiao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shujie Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Zhaofeng Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Guangliang Feng
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Yao Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shaojun Li.

Ethics declarations

Conflict of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

See Tables

Table 4 Location results of the MS source using different velocity model in the numerical study
Full size table

4 and

Table 5 Location of the blasting source in the field case
Full size table

5.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, L., Li, S., Xiao, Y. et al. An Inverted Heterogeneous Velocity Model for Microseismic Source Location in Deep Buried Tunnels. Rock Mech Rock Eng 56, 4855–4880 (2023). https://doi.org/10.1007/s00603-023-03305-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00603-023-03305-3

Keywords

Search

Navigation