Surface-wave tomography for near-surface characterization with continuous wavelet transform for two-station cross-correlation

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

The multichannel analysis of surface waves (MASW) is the most popular approach to estimate dispersion curves of surface waves for near-surface S-wave velocity characterization. The MASW is robust because fundamental mode of surface waves could be distinguished from noise such as body waves or higher modes in the frequency-wavenumber domain. However, sharp lateral variation is difficult to accurately retrieve by MASW-based approach. We proposed a workflow to effectively estimate lateral variation of shallow subsurface from surface-wave tomography using active-source seismic data. In our approach, we stacked cross-coherence between two stations from different shot data to improve the stability of phase velocity estimation. We then applied continuous wavelet transform (CWT) for cross-coherence data to reduce the influence of noise by applying a time-domain filter. Lateral variation of phase velocities was finally estimated from dispersion curves between two stations by tomography. Numerical experiments demonstrated that our CWT-based approach could be used to accurately estimate phase velocity between two stations reflecting lateral variation of the simulated model. The lateral boundary could be well retrieved in the velocity model estimated by tomography. Application of our approach to field data indicated the high stability of phase velocity estimation between two stations and tomography analysis, compared to conventional MASW-based approach.

Original languageEnglish
Pages2531-2535
Number of pages5
DOIs
Publication statusPublished - Jan 1 2019
Event88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018 - Anaheim, United States
Duration: Oct 14 2018Oct 19 2018

Other

Other88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018
CountryUnited States
CityAnaheim
Period10/14/1810/19/18

Fingerprint

wavelet analysis
cross correlation
surface wave
wavelet
surface waves
tomography
transform
stations
phase velocity
estimates
curves
station
body wave
shot
S waves
wave velocity
S-wave
seismic data
filters
analysis

All Science Journal Classification (ASJC) codes

  • Geophysics

Cite this

Ikeda, T., & Tsuji, T. (2019). Surface-wave tomography for near-surface characterization with continuous wavelet transform for two-station cross-correlation. 2531-2535. Paper presented at 88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018, Anaheim, United States. https://doi.org/10.1190/segam2018-2996939.1

Surface-wave tomography for near-surface characterization with continuous wavelet transform for two-station cross-correlation. / Ikeda, Tatsunori; Tsuji, Takeshi.

2019. 2531-2535 Paper presented at 88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018, Anaheim, United States.

Research output: Contribution to conferencePaper

Ikeda, T & Tsuji, T 2019, 'Surface-wave tomography for near-surface characterization with continuous wavelet transform for two-station cross-correlation' Paper presented at 88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018, Anaheim, United States, 10/14/18 - 10/19/18, pp. 2531-2535. https://doi.org/10.1190/segam2018-2996939.1
Ikeda T, Tsuji T. Surface-wave tomography for near-surface characterization with continuous wavelet transform for two-station cross-correlation. 2019. Paper presented at 88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018, Anaheim, United States. https://doi.org/10.1190/segam2018-2996939.1
Ikeda, Tatsunori ; Tsuji, Takeshi. / Surface-wave tomography for near-surface characterization with continuous wavelet transform for two-station cross-correlation. Paper presented at 88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018, Anaheim, United States.5 p.
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