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Abstract

Summary

Knowing the location and characteristics of shallow subsurface structures like tunnels, cavities, archeological ruins, etc. is of importance for different disciplines and application. To image and/or characterize such objects of interest, different geophysical methods are used. For imaging of a very shallow network of tunnels, the high-resolution seismic method with active sources provide valuable information. We show the results of analysis of an S-wave profile recorded over a network of very shallow tunnels in the Netherlands. The survey used a high-frequency vibratory S-wave source and horizontal particle-velocity geophones, both oriented in the crossline direction, along three lines. We process the reflection data along one of the lines to obtain a stacked section in depth. We also use a method inspired by seismic interferometry to localize a scatterer along the line. We show that both techniques image well the subsurface structures taking into account the 3D ambiguity of processing 2D data.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.202320026
2023-09-03
2025-07-12

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References

  1. Al-Fares, W., Bakalowicz, M., Guérin, R., and Dukhan, M. [2002] Analysis of the karst aquifer structure of the Lamalou area (Hérault, France) with ground penetrating radar.Journal of Applied Geophysics, 51, 97–106.
     [Google Scholar]
  2. Brouwer, J., Ghose, R., Helbig, K. and Nijhof, V. [1997] The improvement of geotechnical subsurface models through the application of s-wave reflection seismic exploration. EEGS 3rd Annual Meeting, Extended Abstracts, 103–106.
     [Google Scholar]
  3. Cardarelli, E., Cercato, M., Cerreto, A., Di Filippo, G. [2010] Electrical resistivity and seismic refraction tomography to detect buried cavities.Geophysical Prospecting, 58(4), 685–695.
     [Google Scholar]
  4. Debeglia, N., Bitri, A., Thierry, P. [2006] Karst investigations using microgravity and MASW: application to Orleans, France.Near Surface Geophysics, 4, 215–225.
     [Google Scholar]
  5. Ghose, R., Nijhof, V., Brouwer, J., Matsubara, Y., Kaida, Y. and Takahashi, T. [1998]. Shallow to very shallow, high-resolution reflection seismic using a portable vibrator system.Geophysics, 63, 1295–1309.
     [Google Scholar]
  6. Harmankaya, U., Kaslilar, A., Thorbecke, J., Wapenaar, K., and Draganov, D. [2013] Locating near-surface scatterers using non-physical scattered waves resulting from seismic interferometry.Journal of Applied Geophysics, 91, 66–81.
     [Google Scholar]
  7. Harmankaya, U., Kaslilar, A., Wapenaar, K., and Draganov, D. [2018] Locating scatterers while drilling using seismic noise due to tunnel boring machine.Journal of Applied Geophysics, 152, 86–99.
     [Google Scholar]
  8. Kaslilar, A., Harmankaya, U., Wapenaar, K., and Draganov, D. [2013]. Estimating the location of a tunnel using correlation and inversion of Rayleigh wave scattering.Geophysical Research Letteers, 40, 6084–6088.
     [Google Scholar]
  9. Kaslilar, A., Harmankaya, U., van Wijk, K., Wapenaar, K., and Draganov, D. [2014]. Estimating location of scatterers using seismic interferometry of scattered Rayleigh waves.Near Surface Geophysics, 12, 721–730.
     [Google Scholar]
/content/papers/10.3997/2214-4609.202320026
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Imaging and Locating Buried Tunnels Using a High-Resolution S-Wave Seismic Survey: Feasibility Field Test From Netherlands
Conference Proceedings 2023, 1 (2023); https://doi.org/10.3997/2214-4609.202320026
/content/papers/10.3997/2214-4609.202320026
/content/papers/10.3997/2214-4609.202320026
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