An application of time-domain multiscale waveform tomography to marine data

Chaiwoot Boonyasiriwat*, Paul Valasek, Partha Routh, Brian Macy, Weiping Cao, Gerard Schuster

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We propose a multiscale method for time-domain waveform tomography. The data are low-pass filtered using a Wiener filter, and the inversion is carried out using a multiscale method with a dynamic early-arrival muting window. The adjoint method is used in the inversion for an efficient computation of the gradient directions. A staggered-grid, explicit finite-difference method with 4th-order accuracy in space and 2nd-order accuracy in time is utilized for forward modeling and the adjoint calculation. Our method is applied to a marine seismic dataset. The initial velocity model for waveform tomography is obtained by using traveltime tomography with dynamic smoothing filters. The velocity tomogram obtained from waveform tomography has a higher resolution and a better accuracy than the initial model. The tomogram accuracy is verified by comparing common image gathers.

Original languageEnglish (US)
Pages (from-to)3704-3708
Number of pages5
JournalSEG Technical Program Expanded Abstracts
Volume27
Issue number1
DOIs
StatePublished - Jan 1 2008

ASJC Scopus subject areas

  • Geophysics
  • Geotechnical Engineering and Engineering Geology

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