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Abstract

Summary

This study investigates the feasibility of acquiring and analyzing Scholte waves within the water layer to estimate shallow shear-wave velocity profiles of marine sediments. Using a realistic subsurface model, 2D elastic wave simulations are performed with sources and receivers placed at varying heights above the seabed. Dispersion analysis confirmed that both fundamental and higher-mode Scholte waves remain detectable when the source and receivers are positioned just two meters above the seafloor. Even with added Gaussian noise, Scholte waves are clearly observable, demonstrating the practical potential of this approach. A Bayesian Markov Chain Monte Carlo inversion successfully recovers key features of the shear-wave velocity structure from the dispersion curves, though resolution diminishes with noise and reduced high-frequency content. These results suggest that effective Scholte wave acquisition and inversion are achievable without placing equipment directly on the seabed, offering an environmentally friendly alternative for shallow marine sediment characterization. However, implementing this setup in practice presents technical challenges that require further investigation.

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/content/papers/10.3997/2214-4609.202520207
2025-09-07
2026-02-11
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References

  1. Bodin, T., Sambridge, M., & Gallagher, K. [2009] A self-parametrizing partition model approach to tomographic inverse problems. Inverse Problems, 25(5), 055009.
    [Google Scholar]
  2. Bohlen, T., Kugler, S., Klein, G., & Theilen, F. [2004] 1.5 D inversion of lateral variation of Scholte-wave dispersion. Geophysics, 69(2), 330–344.
    [Google Scholar]
  3. Hayashi, K., & Suzuki, H. [2004] CMP cross-correlation analysis of multi-channel surface-wave data. Exploration geophysics, 35(1), 7–13.
    [Google Scholar]
  4. Johansen, T. A., & Ruud, B. O. [2020] Characterization of seabed properties from Scholte waves acquired on floating ice on shallow water. Near Surface Geophysics, 18(1-Quantitative Geophysical Characterisation of Marine Near-Surface), 49–59.
    [Google Scholar]
  5. Kugler, S., Bohlen, T., Bussat, S., & Klein, G. [2005] Variability of Scholte-wave dispersion in shallow-water marine sediments. Environmental and Engineering Geophysics, 10(2), 203–218.
    [Google Scholar]
  6. Liang, M., & Peng, L. [2023] Experimental Study on the Identification of Scholte Waves Based on Acoustic Pressure Field Measurement. Journal of Ocean University of China, 22(5), 1193–1200.
    [Google Scholar]
  7. Maraschini, M. [2008] A new approach for the inversion of Rayleigh and Scholte waves in site characterization, PhD dissertation, Politecnico di Torino.
    [Google Scholar]
  8. Park, C. B., Miller, R. D., & Xia, J. [1998] Imaging dispersion curves of surface waves on multi-channel record. In SEG technical program expanded abstracts 1998 (pp. 1377–1380). Society of Exploration Geophysicists.
    [Google Scholar]
  9. Shi, C., Ren, H., & Chen, X. [2023] Dispersion inversion for P-and S-wave velocities based on guided P and Scholte waves. Geophysics, 88(6), R721–R736.
    [Google Scholar]
  10. Thorbecke, J., [2017] 2D finite-difference wavefield modelling. Delft University of Technology.
    [Google Scholar]
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