1887

Abstract

Summary

The Multichannel Analysis of Surface Waves (MASW) method is a seismic surface wave method to estimate shear-wave velocity for geotechnical site characterisation. For conventional MASW, the dispersion image is computed for the complete array of active receivers for a particular shot. A processor then manually picks the dispersion curve, which represents the phase velocity with depth at a point at the centre of the receiver array.

Here, we adopt a slightly different approach aimed at improving subsurface characterisation by automating data processing and enhancing lateral resolution. Traditional MASW processing assumes a one-dimensional subsurface, limiting sensitivity to lateral variations. The proposed workflow includes automatic dispersion-curve picking, applying a moving spatial window to generate local dispersion curves, and calculating seismic attributes to better detect lateral changes. Field tests in western Saudi Arabia show the effectiveness of this approach, revealing subsurface heterogeneities despite high-frequency noise. The automated process could enable real-time data analysis, optimising acquisition and providing immediate subsurface information, thus facilitating more informed follow-up investigations and ensuring higher-quality data collection.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202520173
2025-09-07
2026-02-08

  • From This Site

    /content/papers/10.3997/2214-4609.202520173
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Colombero, C., Comina, C., and L.V.Socco [2019] Imaging near-surface sharp lateral variations with surface-wave methods — Part 1: Detection and location. Geophysics, 84, EN93–EN111.
     [Google Scholar]
  2. Haney, M.M., and V.C.Tsai [2015] Nonperturbational surface-wave inversion: A Dix-type relation for surface waves. Geophysics, 80, EN167–EN177.
     [Google Scholar]
  3. Isaaks, E.H., and R.M.Srivastava [1989]. An Introduction to Applied Geostatistics. Oxford University Press, Computers & Geosciences, 17, 471–473.
     [Google Scholar]
  4. O’Connell, D.R.H., and J.P.Turner [2011] Interferometric Multichannel Analysis of Surface Waves (IMASW). Bulletin of the Seismological Society of America, 101, 2122–2141.
     [Google Scholar]
  5. Papadopoulou, M. [2021] Surface-wave methods for mineral exploration. Ph.D. Thesis.
     [Google Scholar]
  6. Papadopoulou, M., Colombero, C., Staring, M., Singer, J., Eddies, R., Fliedner, M., Janod, F., and V.Socco [2021] Fast near-surface investigation with surface-wave attributes. EAGE Near Surface Geoscience Conference & Exhibition 2021, Bordeaux, France.
     [Google Scholar]
  7. Schwab, F., Nakanishi, K., Cuscito, M., Panza, G. F., Liang, G., and J.Frez [1984]. Surface-wave computations and the synthesis of theoretical seismograms at high frequencies. Bulletin of the Seismological Society of America, 74 (5), 1555–1578.
     [Google Scholar]
  8. Socco, L.V., Boiero, D., Foti, S., and R.Wisén [2012] Laterally constrained inversion of ground roll from seismic reflection records. Geophysics, 74, G35–G45.
     [Google Scholar]
/content/papers/10.3997/2214-4609.202520173
Loading
Application of an Automated Workflow for On-Field Processing of MASW Data: An Infrastructure Case Study
Conference Proceedings 2025, 1 (2025); https://doi.org/10.3997/2214-4609.202520173
/content/papers/10.3997/2214-4609.202520173
/content/papers/10.3997/2214-4609.202520173
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