1887
  1. Home
  2. A-Z Publications
  3. Near Surface Geophysics
  4. Volume 23, Issue 3
  5. Article
Volume 23, Issue 3
  • ISSN: 1569-4445
  • E-ISSN: 1873-0604

Abstract

Abstract

Tunnel seismic advance detection is a technology that uses geophysical or drilling methods to predict geological information. As an important step in tunnel seismic advance detection, the tunnel observation system promotes accurate prediction of the location for adverse geological bodies ahead of the tunnel face. However, current tunnel observation systems suffer from limited spatial coverage and insufficient reception of reflection information, resulting in inaccurate migration imaging and susceptibility to noise interference during reflection layer extraction. This paper employs the three‐dimensional (3‐D) reverse time migration (RTM) method, mainly focusing on designing tunnel observation systems. To optimize the existing tunnel observation system, the radiation theory is used to conduct an in‐depth exploration of the advantages and disadvantages of various excitation and reception modes. We summarize their respective applicability based on subjective and visual analysis and provide several design principles that have the potential to achieve good imaging results. In numerical experiments, several observation systems are designed according to the current project case to evaluate the imaging performance under the 3‐D RTM method. By comparing the migration results, it is demonstrated that the designed observation system can obtain state‐of‐the‐art performance due to its superiority in terms of imaging amplitude and energy distribution. Finally, we evaluated the impact of excavation damage zones on imaging performance and summarized the computational efficiency and storage requirements of 3‐D RTM.

© 2025 European Association of Geoscientists & Engineers. © 2025 European Association of Geoscientists & Engineers.
Loading

Article metrics loading...

/content/journals/10.1002/nsg.70014
2025-05-21
2025-06-22

  • From This Site

    /content/journals/10.1002/nsg.70014
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Alimoradi, A., Moradzadeh, A., Naderi, R., Salehi, M.Z. & Etemadi, A. (2008) Prediction of geological hazardous zones in front of a tunnel face using TSP‐203 and artificial neural networks. Tunnelling and Underground Space Technology, 23(6), 711–717.
     [Google Scholar]
  2. Bellino, A., Garibaldi, L. & Godio, A. (2013) An automatic method for data processing of seismic data in tunneling. Journal of Applied Geophysics, 98, 243–253.
     [Google Scholar]
  3. Cai, W., Zhu, P.M., Xiao, C., Liu, Y.F., Li, C.S. & Li, Z.A. (2024) Elimination of the symmetrical artifacts in Kirchhoff depth migration for 3‐D whole‐space tunnel seismic imaging. IEEE Transactions on Geoscience and Remote Sensing, 62, 1–17.
     [Google Scholar]
  4. Chang, X., Liu, Y.K. & Gui, Z.X. (2006) Zero‐offset reverse time migration for prediction ahead of tunnel face. Chinese Journal of Geophysics, 49(5), 1324–1331.
     [Google Scholar]
  5. Cheng, F., Liu, J., Qu, N., Mao, M. & Zhou, L. (2014) Two‐dimensional pre‐stack reverse time imaging based on tunnel space. Journal of Applied Geophysics, 104, 106–113.
     [Google Scholar]
  6. Gardner, L.W. & Gregory, A.R. (1974) Formation velocity and density – the diagnostic basics for stratigraphic traps. Geophysics, 39, 770–780.
     [Google Scholar]
  7. Gong, X.B., Han, L.G., Niu, J.J., Zhang, X.P. & Du, W.L.Z. (2010) Combined migration velocity model‐building and its application in tunnel seismic prediction. Applied Geophysics, 7, 265–271.
     [Google Scholar]
  8. Guan, P., Shao, C., Jiao, Y., Zhang, G., Li, B., Zhou, J. et al. (2021) 3‐D multi‐component reverse time migration method for tunnel seismic data. Sensor, 21(9), 32–44.
     [Google Scholar]
  9. Inazaki, T., Isahai, H., Kawamura, S., Kurahashi, T. & Hayashi, H. (1999) Stepwise application of horizontal seismic profiling for tunnel prediction ahead of the face. Leading Edge, 18(12), 1429–1431.
     [Google Scholar]
  10. Makhloufi, A. & Kallel, A. (2023) Inversion of a new designed ANN‐based 3D‐RTM emulator by continues MCMC technique to monitor crop biophysical properties using Sentinel‐2 images. IEEE Transactions on Geoscience and Remote Sensing, 61, 1–14.
     [Google Scholar]
  11. Lan, R., Liu, Z., Liu, M., Guan, Q., Yan, Y., Sun, H. et al. (2022) Detection of karst caves during tunnel construction using ground‐penetrating radar and advanced drilling: a case study in Guangxi Province, China. Near Surface Geophysics, 20, 265–278.
     [Google Scholar]
  12. Li, S.C., Liu, B., Sun, H.F., Nie, L.C., Zhong, S.H., Su, M.X. et al. (2014) State of art and trends of advanced geological prediction in tunnel construction. Chinese Journal of Rock Mechanics and Engineering, 33, 1090–1113.
     [Google Scholar]
  13. Li, S.C., Liu, B., Xu, X.J., Nie, L.C., Liu, Z.Y., Song, J. et al. (2017) An overview of ahead geological prospecting in tunneling. Tunnelling & Underground Space Technology, 63, 69–94.
     [Google Scholar]
  14. Liu, B., Chen, L., Li, S., Xu, X., Liu, L.B., Song, J. et al. (2018) A new 3D observation system designed for a seismic ahead prospecting method in tunneling. Bulletin of Engineering Geology & the Environment, 77(4), 1547–1565.
     [Google Scholar]
  15. Liu, B., Zhang, F.K., Li, S.C., Li, Y., Xu, S., Nie, L. et al. (2018) Forward modelling and imaging of ground‐penetrating radar in tunnel ahead geological prospecting. Geophysical Prospecting, 66(4), 784–797.
     [Google Scholar]
  16. Liu, B., Zhang, F.K., Li, S.C., Liu, L.B., Li, Y., Xu, X.J. et al. (2019) Full waveform inversion based on inequality constraint for cross‐hole radar. Journal of Applied Geophysics, 162, 118–127.
     [Google Scholar]
  17. Liu, B., Wang, J.S., Ren, Y.X., Guo, X., Chen, L. & Liu, L.B. (2022) Decoupled elastic least‐squares reverse time migration and its application in tunnel geologic forward prospecting. Geophysics, 87(1), EN1–EN19.
     [Google Scholar]
  18. Liu, B., Wang, J.S., Yang, S.L., Xu, X.J. & Ren, Y.X. (2022) Forward prediction for tunnel geology and classification of surrounding rock based on seismic wave velocity layered tomography. Journal of Rock Mechanics and Geotechnical Engineering, 15(1), 179–190.
     [Google Scholar]
  19. Liu, H., Yue, Y.P., Lian, Y.L., Meng, X., Du, Y.L. & Cui, J. (2024) Reverse‐time migration of GPR data for imaging cavities behind a reinforced shield tunnel. Tunnelling and Underground Space Technology, 146, 105649.
     [Google Scholar]
  20. Lu, X.L., Liao, X., Wang, Y., Wang, G.M., Fu, Z.H. & Tai, H. (2020) The tunnel seismic advance prediction method with wide illumination and a high signal‐to‐noise ratio. Geophysical Prospecting, 68(8), 2444–2458.
     [Google Scholar]
  21. Luo, S., Lu, G.Y., Zhu, Z.Q. & Xia, C.Z. (2020) Vector P‐ and S‐wave pre‐stack reverse‐time migration for tunnel spaces. Near Surface Geophysics, 18(6), 683–695.
     [Google Scholar]
  22. Pei, C.Y., Fan, K.G. & Wang, W.S. (2020) Two‐scale multimodal medical image fusion based on guided filtering and sparse representation. IEEE Access: Practical Innovations, Open Solutions, 8, 140216–140233.
     [Google Scholar]
  23. Pei, C.Y., Shi, L.G., Li, S.H., Zhou, X.H., Long, Y. & Chen, Z.B. (2023) A novel wavefield reconstruction method using sparse representation and dictionary learning for RTM. Journal of Geophysics and Engineering, 20(5), 946–964.
     [Google Scholar]
  24. Peng, D.C., Cheng, F., Liu, J.P., Zheng, Y.P. & Hu, G. (2024) 3‐D Tunnel space elastic reverse time migration in cylindrical coordinates using reconstructed time‐domain wavefields. IEEE Transactions on Geoscience and Remote Sensing, 62, 1–13.
     [Google Scholar]
  25. Petronio, L., Poletto, F., Schleifer, A. & Kashiwa, T. (2007) Interface prediction ahead of the excavation front by the tunnel‐seismic‐while‐drilling (TSWD) method. Geophysics, 72(4), 39–44.
     [Google Scholar]
  26. Qiao, M., Roberts, J., Ren, T., Hines, J. & Wu, J.M. (2024) Dispersion and migration characteristics of multisource respirable dust in development panels during tunnelling processes. Tunnelling and Underground Space Technology, 148, 105778.
     [Google Scholar]
  27. Qu, Y.M., Zhou, C., Worral, Q., Li, Z.C., Wang, C.B. & Sun, J.Z. (2020) Elastic reverse‐time migration in irregular tunnel environment based on polar coordinates. Applied Geophysics, 17(2), 253–266.
     [Google Scholar]
  28. Ren, Y.X., Yang, Z.C., Liu, B., Xu, X.J. & Chen, Y.K. (2020) Prestack reverse time imaging in tunnels based on the decoupled nonconversion elastic‐wave equation. Geophysics, 85(6), S371–S383.
     [Google Scholar]
  29. Ren, Y.X., Wang, J.S., Yang, Z.C., Xu, X.J. & Chen, L.P. (2022) Pre‐stack elastic reverse time migration in tunnels based on cylindrical coordinates. Journal of Rock Mechanics and Geotechnical Engineering, 14(6), 1933–1945.
     [Google Scholar]
  30. Ren, Y.X., Ding, X.N., Guo, M.Y., Wang, J.S. & Xu, X.J. (2023) Reverse time migration imaging method for tunnel seismic forward‐prospecting in viscoacoustic media. Near Surface Geophysics, 21(5), 358–375.
     [Google Scholar]
  31. Sattel, G., Sander, B.K., Amberg, F. & Kashiwa, T. (1996) Tunnel seismic prediction TSP some case histories. Tunnels Tunn, 4, 24–30.
     [Google Scholar]
  32. Tzavaras, J., Buske, S., Groß, K. & Shapiro, S. (2012) Three‐dimensional seismic imaging of tunnels. International Journal of Rock Mechanics & Mining Sciences, 49, 12–20.
     [Google Scholar]
  33. Wang, J., Liu, J.P., Cheng, F., Yang, J. & Huang, Y.F. (2019) Finite element reverse time migration imaging in tunnels using an unstructured mesh. Applied Geophysics, 1–9.
     [Google Scholar]
  34. Wang, J.S., Yang, S.L., Xu, X.J., Jiang, P.X., Ren, Y.X., Du, C.X. et al. (2023) 3C‐3D tunnel seismic reverse time migration imaging: a case study of Pearl River Delta Water Resources Allocation Project. Journal of Applied Geophysics, 210, 104954.
     [Google Scholar]
  35. Yamamoto, T., Shirasagi, S., Yokota, Y. & Koizumi, Y. (2011) Imaging geological conditions ahead of a tunnel face using three‐dimensional seismic reflector tracing system. International Journal of the JCRM, 6(1), 23–31.
     [Google Scholar]
  36. Yang, S.L., Cao, H.Y., Zhang, Y., Chen, L., Xu, X.J., Song, J. et al. (2022) Study on observation system of seismic forward prospecting in tunnel: a case on tailrace tunnel of Wudongde hydropower station. Open Geosciences, 14(1), 1–12.
     [Google Scholar]
  37. Zhan, G., Dai, W., Zhou, M., Luo, Y. & Schuster, G.T. (2014) Generalized diffraction‐stack migration and filtering of coherent noise. Geophysical Prospecting, 62(3), 427–442.
     [Google Scholar]
  38. Zhang, F.K., Liu, B., Liu, L.B., Wang, J., Lin, C.J., Yang, L. et al. (2019) Application of ground penetrating radar to detect tunnel lining defects based on improved full waveform inversion and reverse time migration. Near Surface Geophysics, 17(2), 127–139.
     [Google Scholar]
  39. Zhang, F.K., Liu, B., Wang, J., Li, Y., Nie, L.C., Wang, Z.F. et al. (2020) Two‐dimensional time‐domain full waveform inversion of on‐ground common‐offset GPR data based on integral preprocessing. Journal of Environmental & Engineering Geophysics, 25(3), 369–380.
     [Google Scholar]
  40. Zhou, G.Q., Yue, M.X., Yang, X.D., Liu, S.D., Wu, Z., Gao, Y. et al. (2020) A metal interference correction method of tunnel transient electromagnetic advanced detection. Journal of Geophysics and Engineering, 17(3), 429–438.
     [Google Scholar]
  41. Zuniga, N. & Priimenko, V. (2024) Inversion procedure for velocity analysis using spectral recomposition. Marine Geophysical Research, 45(1), 1–13.
     [Google Scholar]
/content/journals/10.1002/nsg.70014
Loading
3‐D reverse time migration for tunnel seismic data with an optimized observation system
Near Surface Geophysics 23, 267 (2025); https://doi.org/10.1002/nsg.70014
/content/journals/10.1002/nsg.70014
/content/journals/10.1002/nsg.70014
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): geophone; imaging; migration; seismic; tunnel

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error