1887

Abstract

Summary

Surface wave analysis has been extensively utilized to derive the shear wave velocity profile for various applications. Extraction of dispersion curves (DCs) is an essential step in surface wave analysis. The DCs are typically picked manually on the dispersion image, which can be a time-consuming process and subject to the expertise of the user. We present a fully automatic method for the picking of DCs on the computed dispersion images from the phase shift method. We apply the proposed method on seismic data acquired from Kefalonia, Greece. To check the quality of the results, we compare the automatically and manually picked DCs. The results show that the proposed method can produce similar DCs as the manually picked ones, and reduces the time needed for the picking of DCs from several hours to a few minutes.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202320076
2023-09-03
2025-11-16

  • From This Site

    /content/papers/10.3997/2214-4609.202320076
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Ortega, R., Carciumaru, D., Huesca, E. and Gutierrez, E., 2019. Automatic selection of dispersion curves based on a weighted probability scheme.Seismological Research Letters, 90(2A), pp.623–632.
     [Google Scholar]
  2. Papadopoulou, M., 2021. Surface wave methods for mineral exploration: Ph.D. thesis, Politecnico di Torino.
     [Google Scholar]
  3. Xie, P., Boelle, J.L., Khosro, F. and Masoni, I., 2017. June. Automatic Surface Wave Dispersion Curve Picking and Symbolic Calculation Inversion. In 79th EAGE Conference and Exhibition 2017 (Vol. 2017, No. 1, pp. 1–5).
     [Google Scholar]
  4. Rovetta, D., Kontakis, A. and Colombo, D., 2021. Application of a density-based spatial clustering algorithm for fully automatic picking of surface-wave dispersion curves.The Leading Edge, 40(9), pp.678–685.
     [Google Scholar]
  5. Papadopoulou, M., Colombero, C., Staring, M., Singer, J., Eddies, R., Fliedner, M., Janod, F. and Socco, V., 2021. August. Fast near-surface investigation with surface-wave attributes. In NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring and BIM (Vol. 2021, No. 1, pp. 1–5). EAGE Publications BV.
     [Google Scholar]
  6. Park, C.B., Miller, R.D. and Xia, J., 1999. Multichannel analysis of surface waves.Geophysics, 64(3), pp.800–808.
     [Google Scholar]
/content/papers/10.3997/2214-4609.202320076
Loading
Data Driven Auto-Picking of Surface Wave Dispersion Curve
Conference Proceedings 2023, 1 (2023); https://doi.org/10.3997/2214-4609.202320076
/content/papers/10.3997/2214-4609.202320076
/content/papers/10.3997/2214-4609.202320076
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