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

Chaiwoot Boonyasiriwat; Paul Valasek; Partha Routh; Brian Macy; Weiping Cao; Gerard T. Schuster

doi:10.1190/1.3064105

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

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-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 language	English (US)
Pages (from-to)	3704-3708
Number of pages	5
Journal	SEG Technical Program Expanded Abstracts
Volume	27
Issue number	1
DOIs	https://doi.org/10.1190/1.3064105
State	Published - Jan 2008
Externally published	Yes

ASJC Scopus subject areas

Geophysics
Geotechnical Engineering and Engineering Geology

UN SDGs

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Cite this

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AU - Cao, Weiping

AU - Schuster, Gerard T.

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AB - 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.

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

Abstract

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