Practical, 3D surface‐related multiple prediction (SMP)

Moore, Ian D.; Dragoset, Bill

doi:10.1190/1.1851097

Cited by 12 publications

(1 citation statement)

References 6 publications

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“…The crossline offset range was a compromise between our desire to use the widest possible crossline aperture during 3D multiple prediction and the need to keep the amount of data being reconstructed to a minimum. There are several techniques (e.g., Moore and Dragoset (2004), Baumstein et al (2005)) that can provide an estimate of the required crossline aperture based on certain assumptions about the nature of the multiples. We used the method described in Baumstein et al (2005) that makes a prediction based on the kinematics of the first-order zero-offset waterbottom multiple.…”

Section: D Srmementioning

confidence: 99%

Shot-Domain Data Reconstruction and Its Application to Suppression of 3D Surface-Related Multiples

Baumstein

Hadidi²,

Hinkley³

2005

All Days

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractWe present a DMO-based technique for reconstruction of densely and regularly sampled shot records from conventional marine data. The reconstruction process allows us to overcome aliasing that typically affects marine data in the cross-line direction and enables us to apply high-end processing techniques, such as 3D SRME, to conventional marine data without imposing additional acquisition requirements. A lowcost version of our reconstruction method, which is particularly suitable for use as a part of a multiple-suppression processing flow, is introduced and its advantages and limitations discussed.An example of performing data reconstruction for a conventional marine field dataset, followed by application of 3D SRME, is presented. This field data example is used to illustrate how the choice of data reconstruction method impacts the quality of multiple suppression.

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Section: D Srmementioning

confidence: 99%

Shot-Domain Data Reconstruction and Its Application to Suppression of 3D Surface-Related Multiples

Baumstein

Hadidi²,

Hinkley³

2005

All Days

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An analysis of 2D and 3D multiple attenuation for a canonical example

Ikelle

2005

GEOPHYSICS

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Three-dimensional formulations of free-surface multiple attenuation for multioffset seismic data are well known. They are not yet used in practice because they require very dense source-receiver coverage, which is still out of reach with existing seismic-acquisition systems. The development of alternative solutions based on 2D algorithms depends on our understanding of the relationship between 2D and 3D free-surface multiple-attenuation methods. This paper attempts to enhance this understanding by establishing the relationship between 2D and 3D inverse scattering free-surface multiple attenuation. A 3D model consisting of three scattering points (one scattered point located in the vertical plane containing the shooting line and the other two points outside this plane) in a homogeneous medium (for which the exact pressure field is analytically known) is used to show that the 2D inverse scattering multiple-attenuation algorithm predicts all free-surface multiples as does its 3D counterpart but with some traveltime and amplitude errors. One implication of this result is that the current 2D inverse scattering multiple-attenuation algorithm, with an appropriate 2D-to-3D correction, can be used to predict the free-surface multiples for data containing out-of-plane scattering.

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