Broadband towed marine seismic via total source and receiver de-ghosting

Farouki, Mazin; Long, Andrew; Parkes, Gregg; Hegna, Stian

doi:10.1190/segj102011-001.4

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…In the same context, innovative strategies are needed for preconditioning the inversion in order to extract longwavelength features. Acquisition-based methods have recently been proposed in order to improve the lowfrequency part of the spectrum (e.g., Farouki et al, 2011;Moldoveanu et al, 2012). In addition, several strategies have been proposed in order to retrieve the long wavelength features of the velocity models within the FWI framework (e.g., Kelly et al, 2010;Xu et al, 2012;Zhou et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Reflection FWI from fully deghosted towed-streamer data: A field data example

Ramos-Martinez

Zou

Kelly

et al. 2013

SEG Technical Program Expanded Abstracts 2013

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Success in the application of gradient-based full-waveform inversion (FWI) depends on the extraction of the lowest possible wavenumber content provided by the data. In shallow water scenarios with shallow targets, the refractions and diving waves present in the large offsets of streamer data provide an advantageous framework for such success. In deep water scenarios with streamer data containing only reflections, the extraction of the long wavelength features requires either a boost in the lowfrequency content of the data and/or strategies to precondition the data and the model to reduce the nonlinearity of the problem. In this work, we invert reflection events from fully deghosted streamer data that were acquired in deep water offshore of Norway. The deghosting was accomplished by using dual-sensor streamers and a time and depth-distributed source array. The inverted velocity model shows a significant improvement in resolution in the shallow part of the model, which consequently improves the resolution of the migrated image. Results are also validated by the flatness of common image gathers and the waveform fitting between modeled and field shot records.

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Section: Introductionmentioning

confidence: 99%

Reflection FWI from fully deghosted towed-streamer data: A field data example

Ramos-Martinez

Zou

Kelly

et al. 2013

SEG Technical Program Expanded Abstracts 2013

View full text Add to dashboard Cite

show abstract

Inversion of refractions and reflections by full-waveform inversion for marine streamer data: Classification of problem types and solution methods

et al. 2013

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We classify full-waveform inversion (FWI) projects according to the types of events used to invert marine streamer data. In general, an adequate model update requires the seamless introduction of wavenumbers that are missing in the starting model. It has been our experience that a seamless update may require extraction of the lowest possible wavenumbers from the data, as well as the application of preprocessing procedures and scattering kernels that are optimal for each type of arrival. In a shallow-water environment, and with sufficient offsets, refracted arrivals and diving waves can provide an adequate inversion for shallow velocity structures. We demonstrate this principle using the linearized (Born) scattering kernel for field data from the North Sea.

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Broadband towed marine seismic via total source and receiver de-ghosting

Cited by 2 publications

References 3 publications

Reflection FWI from fully deghosted towed-streamer data: A field data example

Reflection FWI from fully deghosted towed-streamer data: A field data example

Inversion of refractions and reflections by full-waveform inversion for marine streamer data: Classification of problem types and solution methods

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