Waveform inversion for acoustic VTI media in frequency domain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Scopus citations


Reflected waveform inversion (RWI) provides a method to reduce the nonlinearity of the standard full waveform inversion (FWI) by inverting for the background model using a single scattered wavefield from an inverted perturbation. However, current RWI methods are mostly based on isotropic media assumption. We extend the idea of the combining inversion for the background model and perturbations to address transversely isotropic with a vertical axis of symmetry (VTI) media taking into consideration of the optimal parameter sensitivity information. As a result, we apply Born modeling corresponding to perturbations in only for the variable e to derive the relative reflected waveform inversion formulation. To reduce the number of parameters, we assume the background part of η = ε and work with a single variable to describe the anisotropic part of the wave propagation. Thus, the optimization variables are the horizontal velocity v, η = ε and the e perturbation. Application to the anisotropic version of Marmousi model with a single frequency of 2.5 Hz shows that this method can converge to the accurate result starting from a linearly increasing isotropic initial velocity. Application to a real dataset demonstrates the versatility of the approach.
Original languageEnglish (US)
Title of host publicationSEG Technical Program Expanded Abstracts 2016
PublisherSociety of Exploration Geophysicists
Number of pages6
StatePublished - Sep 2016

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We thank Bruce VerWest, Esteban D´ıaz and P.J.Wellington for their insights in the CGG data and Operto St´ephane for some useful discussions. The seismic data shown in this abstract is proprietary to and provided courtesy of CGG. The well-log information is provided by Geoscience Australia. We especially thank TonyWeatherall and Lynda Thomas for reviewing our abstract. We thank KAUST for its support and the SWAG group for collaborative environment.


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