1887

Abstract

Summary

Passive seismic surface wave method with ambient noise is now widely used for imaging near-surface shear-wave velocity (Vs) structure. However, in some industry environment with strong fixed-frequency interference (FFI) related to mechanical operations, traditional ambient noise data processing flow fails to produce satisfactory surface wave dispersion spectrum. In this study, we propose a new data processing workflow that incorporates data filtering based on singular value decomposition (SVD), seismic interferometry and coherence-based virtual shot gather (VSG) enhancing to effectively address the issue caused by FFI. We have validated our workflow on a synthetic test, demonstrating that it produces improved VSG and higher-quality surface-wave dispersion spectrum compared to traditional seismic interferometry processing flow. The proposed workflow is also applied to a field dataset with two arrays deployed in a coal mining environment, where strong FFI is generated by the ventilation shafts. The field data application shows that the proposed workflow has effectively mitigated the effect of the FFI and produced clearer and more continuous fundamental mode dispersion energy. Therefore, our proposed workflow is effective for conducting passive seismic surveys in the increasingly complex scenarios affected by the FFI.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202572103
2025-05-13
2026-02-12

  • From This Site

    /content/papers/10.3997/2214-4609.202572103
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Bensen, G. D., Ritzwoller, M. H., Barmin, M. P., Levshin, A. L., Lin, F., Moschetti, M. P., Shapiro, N. M., and Yang, Y. [2007]. Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements. Geophysical Journal International, 169(3), 1239–1260.
     [Google Scholar]
  2. Claerbout, J. F. [1968]. Synthesis of a layered medium from its acoustic transmission response. Geophysics, 33(2), 264–269.
     [Google Scholar]
  3. Ehsaninezhad, L., Wollin, C., Rodríguez Tribaldos, V., Schwarz, B., and Krawczyk, C. M. [2024]. Urban subsurface exploration improved by denoising of virtual shot gathers from distributed acoustic sensing ambient noise. Geophysical Journal International, 237(3), 1751–1764.
     [Google Scholar]
  4. Liu, Y., Zhang, H., Fang, H., Yao, H., and Gao, J. [2018]. Ambient noise tomography of three-dimensional near-surface shear-wave velocity structure around the hydraulic fracturing site using surface microseismic monitoring array. Journal of Applied Geophysics, 159, 209–217.
     [Google Scholar]
  5. Olivier, G., Brenguier, F., Campillo, M., Lynch, R., and Roux, P. [2015]. Body-wave reconstruction from ambient seismic noise correlations in an underground mine. Geophysics, 80(3), KS11–KS25.
     [Google Scholar]
  6. Park, C. B., Miller, R. D., and Xia, J. [1999]. Multichannel analysis of surface waves. Geophysics, 64(3), 800–808.
     [Google Scholar]
  7. Raj, K. M., Murugan, S. S., Natarajan, V., and Radha, S. [2011]. Denoising algorithm using wavelet for underwater signal affected by wind driven ambient noise. 2011 International Conference on Recent Trends in Information Technology (ICRTIT), 943–946.
     [Google Scholar]
  8. Shapiro, N. M., Campillo, M., Stehly, L., and Ritzwoller, M. H. [2005]. High-Resolution Surface-Wave Tomography from Ambient Seismic Noise. Science, 307(5715), 1615–1618.
     [Google Scholar]
  9. Snieder, R., Wapenaar, K., and Larner, K. [2006]. Spurious multiples in seismic interferometry of primaries. GEOPHYSICS, 71(4), SI111–SI124.
     [Google Scholar]
  10. Wang, K., Qian, J., Zhang, H., Gao, J., Bi, D., and Gu, N. [2022]. Seismic imaging of mine tunnels by ambient noise along linear arrays. Journal of Applied Geophysics, 203(January), 104718.
     [Google Scholar]
/content/papers/10.3997/2214-4609.202572103
Loading
Improving Passive Seismic Surface Wave Dispersion Measurement Deteriorated by Strong Fixed-Frequency Interference in the Industry Environment
Conference Proceedings 2025, 1 (2025); https://doi.org/10.3997/2214-4609.202572103
/content/papers/10.3997/2214-4609.202572103
/content/papers/10.3997/2214-4609.202572103
Loading

Data & Media loading...

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