3D surface‐related multiple prediction and data reconstruction

Dedem, E. J. van; Schonewille, Michel; Verschuur, D.J.

doi:10.1190/1.1820683

Cited by 6 publications

(3 citation statements)

References 3 publications

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“…Nevertheless, this ambitious approach remains expansive as the author compares it to the cost of a 3D Pre-SDM. More synthetic cases have also been shown by Van Dedem et al (1999) also based on the interpolation of input data. Later showed a practical approach for deep water multiple attenuation working in the zerooffset domain.…”

Section: Introductionmentioning

confidence: 97%

Fast zero‐offset surface multiple modeling in 3D

Pica¹,

Manin²

2003

SEG Technical Program Expanded Abstracts 2003

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The method presented here is a modeling technique for surface zero-offset multiples in 3D. It does not require any picking, and the multiples are modeled from the data themselves by using post-stack migration tools and a demigration with a delayed exploding reflector condition (DDERC). This leads to a kinematically exact technique for modeling the zero-offset double travel-path surface multiples produced by any generator with any dip, such as the sea-floor first-order multiple, for example. The 3D multiple model thus found can then be subtracted from the zero-offset input sections by using waveform and amplitude adaptive techniques. The cost-effectiveness of this modeling method resides in the different levels of approximations that can be accepted, either in the migration or demigration stage, or the in the kind of multiples that we intend to model. This 3D multiple modeling method has been implemented in the f-k domain by using the phase-shift technique. It is thus in principle absolutely exact for 1D velocity backgrounds only. Nevertheless, the robustness of the method has been verified in laterally variant velocity media in deep seafloor contexts. An approximation of the kinematics of the demigration with the delayed exploding reflector condition (DDERC), based on Taylor's expansions of the traveltimes curves corresponding to the DDERC operator, leads us to a cheaper approach for the constant velocity case based on Stolt's migration and demigration techniques by modifying the velocity value. At last, we can show that some additional approximations allow us not only to model accurately the double travel path multiples, but also the peg-legs and the diffracted multiples.

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Section: Introductionmentioning

confidence: 97%

Fast zero‐offset surface multiple modeling in 3D

Pica¹,

Manin²

2003

SEG Technical Program Expanded Abstracts 2003

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“…Since then, many different implementations of that algorithm have been applied to 2-D data sets, with some excellent results. 3 If those difficulties could be overcome somehow, then wave equation-based surface multiple elimination would be a good candidate for solving the Pluto prospect's multiple problem. 3 If those difficulties could be overcome somehow, then wave equation-based surface multiple elimination would be a good candidate for solving the Pluto prospect's multiple problem.…”

Section: Introductionmentioning

confidence: 99%

3-D Surface Multiple Attenuation

Dragoset¹

2000

All Days

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Surface multiples were removed from an irregularly sampled Gulf of Mexico 3-D seismic data set using a 2-D wave equation-based algorithm. Accomplishing that task required facing several challenges: the project's potentially high processing cost, the 2-D algorithm's inability to accommodate 3-D effects directly, and the algorithm's need to have an input wavefield with regular spatial sampling. The first two challenges were addressed by predicting surface multiples in a 2-D fashion for half of the 2-D lines in the 3-D data set. The predicted multiples were then subtracted from the original lines using a process called adaptive noise cancellation to correct the predictions for ignored 3-D effects such as those due to cable feathering and cross dip. In addition, the adaptive process was able to subtract multiples predicted for one subsurface line not only from that line, but also from an adjacent line, thereby almost halving the cost of the project. The spatial sampling problem, which arose mostly because the survey was designed without surface multiple prediction in mind, was solved by regularizing the 2-D lines with an assortment of interpolation processes before multiple prediction. The interpolation increased the processing cost by about a factor of four.

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“…10 to be realized and involve significant computational effort. • Source sail lines are also widely spaced -typically they are hundreds of meters apart grossly violating the requirement that each receiver location is also a source location.…”

Section: Introductionmentioning

confidence: 99%

A 2.5D Method for Attenuating Free-Surface Multiples Based on Inverse Scattering Series

Matson¹,

Corrigan²

2000

All Days

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This paper describes a simple, practical framework in which wave-equation based methods for attenuating free-surface multiples may be applied to multi-source, multi-receiver marine 3D data sets. The fundamental assumption required to facilitate this approach is that the 3D data are acquired in the dip direction for a subsurface which exhibits little variability in the crossline direction. Given the validity of this assumption, the relevant formulas for multiple prediction are presented and their strengths and weaknesses are illustrated with a number of synthetic data sets as well as a field data example.

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3D surface‐related multiple prediction and data reconstruction

Cited by 6 publications

References 3 publications

Fast zero‐offset surface multiple modeling in 3D

Fast zero‐offset surface multiple modeling in 3D

3-D Surface Multiple Attenuation

A 2.5D Method for Attenuating Free-Surface Multiples Based on Inverse Scattering Series

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