Multiple scattering of an acoustic wave from a network of cylindrical rods encased in a solid viscoelastic medium

Ali, Taheri; Honarvar, Farhang

doi:10.1016/j.ultras.2015.07.015

Cited by 6 publications

(2 citation statements)

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“…The presence of multiples (i.e., waves that have reflected multiple times) causes errors in many fields, such as nondestructive testing (Taheri and Honarvar, 2016), medical imaging (Feldman et al, 2009), and exploration seismology within methods such as migration, reflection tomography, and velocity estimation (Yilmaz, 2001). Although a variety of different methods exist to predict and attenuate free-surface multiples in seismic reflection data (Verschuur, 1992;van Borselen, 1996;Weglein et al, 1997;Ziolkowski et al, 1999;Amundsen, 2001), considerably less attention has been directed toward internal multiple removal.…”

Section: Introductionmentioning

confidence: 99%

“…Although a variety of different methods exist to predict and attenuate free-surface multiples in seismic reflection data (Verschuur, 1992;van Borselen, 1996;Weglein et al, 1997;Ziolkowski et al, 1999;Amundsen, 2001), considerably less attention has been directed toward internal multiple removal. In fact, internal multiple suppression is a relatively recent development in exploration seismology, with the first studies dating from the 1990s.…”

Section: Introductionmentioning

confidence: 99%

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Elastic internal multiple analysis and attenuation using Marchenko and interferometric methods

2017

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Conventional seismic processing aims to create data that contain only primary reflections, whereas real seismic recordings also contain multiples. As such, it is desirable to predict, identify, and attenuate multiples in seismic data. This task is more difficult in elastic (solid) media because mode conversions create families of internal multiples not present in the acoustic case. We have developed a method to predict prestack internal multiples in general elastic media based on the Marchenko method and convolutional interferometry. It can be used to identify multiples directly in prestack data or migrated sections, as well as to attenuate internal multiples by adaptively subtracting them from the original data set. We developed the method on two synthetic data sets, the first composed of horizontal density layers and constant velocities, and the second containing horizontal and vertical density and velocity variations. The full-elastic method is computationally expensive and ideally uses data components that are not usually recorded. We therefore tested an acoustic approximation to the method on the synthetic elastic data from the second model and find that although the spatial resolution of the resulting image is reduced by this approximation, it provides images with relatively fewer artifacts. We conclude that in most cases where cost is a factor and we are willing to sacrifice some resolution, it may be sufficient to apply the acoustic version of this demultiple method.

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