Time-domain incomplete Gauss-Newton full-waveform inversion of Gulf of Mexico data

Abdullah AlTheyab, Xin Wang, Gerard T. Schuster

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


We apply the incomplete Gauss-Newton full-waveform inversion (TDIGN-FWI) to Gulf of Mexico (GOM) data in the space-time domain. In our application, iterative least-squares reverse-time migration (LSRTM) is used to estimate the model update at each non-linear iteration, and the number of LSRTM iterations is progressively increased after each non-linear iteration. With this method, model updating along deep reflection wavepaths are automatically enhanced, which in turn improves imaging below the reach of diving-waves. The forward and adjoint operators are implemented in the space-time domain to simultaneously invert the data over a range of frequencies. A multiscale approach is used where higher frequencies are down-weighted significantly at early iterations, and gradually included in the inversion. Synthetic data results demonstrate the effectiveness of reconstructing both the high- and low-wavenumber features in the model without relying on diving waves in the inversion. Results with Gulf of Mexico field data show a significantly improved migration image in both the shallow and deep sections.
Original languageEnglish (US)
Title of host publicationSEG Technical Program Expanded Abstracts 2013
PublisherSociety of Exploration Geophysicists
Number of pages5
ISBN (Print)9781629931883
StatePublished - Aug 19 2013

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01


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