Marchenko scheme based internal multiple reflection elimination in acoustic wavefield

Zhang, Lele; Staring, Myrna

doi:10.1016/j.jappgeo.2018.09.024

Cited by 39 publications

(33 citation statements)

References 13 publications

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“…(2) where H denotes the truncation operator and 1 M denotes the second term in the right hand side of equation 1 with 1 m = . As discussed in Zhang and Staring (2018), all orders of internal multiples are predicted by equation 2 with incorrect amplitudes and following terms 2,..., m = ∞ work to correct the amplitudes of events predicted by 1 M .…”

Section: Theorymentioning

confidence: 99%

A field data example of Marchenko multiple elimination

Zhang

Slob

2019

SEG Technical Program Expanded Abstracts 2019

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Multiple reflections are often considered as noise in seismic data. Dealing with them has attracted much attention from industry and academia. A variety of schemes have been developed for removal of free-surface multiple reflections and success has been achieved in numerical and field datasets. However, less attention has been directed toward internal multiple reflection removal. The Marchenko multiple elimination scheme is capable to eliminate internal multiple reflections without model information or adaptive subtraction. This scheme is derived from coupled Marchenko-type equations by projecting the focusing functions from the focusing level back to the acquisition surface. Primary reflections are filtered from acquired seismic data. We apply the Marchenko multiple elimination scheme to a deep water 2D field dataset from the Norwegian North Sea to test the performance. We show that the Marchenko multiple elimination scheme is an appropriate method for removing internal multiple reflections when high-quality pre-processing is performed.

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Section: Theorymentioning

confidence: 99%

A field data example of Marchenko multiple elimination

Zhang

Slob

2019

SEG Technical Program Expanded Abstracts 2019

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“…is free from free-surface multiple reflections. The formula of the MME scheme can be given as (Zhang and Staring, 2018)…”

Section: Theorymentioning

confidence: 99%

“…t R denotes the retrieved multiple-free dataset. Details of the theory can be found in Zhang and Staring (2018). The integral form of the second term in the right hand side of equation 1 with 1 m = can be given as…”

Section: Theorymentioning

confidence: 99%

“…(2) where H denotes the truncation operator and 1 M denotes the second term in the right hand side of equation 1 with 1 m = . As discussed in Zhang and Staring (2018) The first term in the right hand side of equation 1 is the original reflection data with internal multiple reflections and t R in the left hand side of equation 1 is the achieved multiple-eliminated dataset, such that the second term in the right hand side of equation 1 gives all orders of internal multiple reflections with opposite polarity, which cancel internal multiple reflections contained in the original reflection response. Only the measured data is required for the implementation.…”

Section: Theorymentioning

confidence: 99%

“…It requires offset dependent time truncations for which a macro velocity model is needed. This idea has been modified by Zhang and Staring (2018), which we call the Marchenko multiple elimination scheme (MME). In theory, the MME scheme eliminates internal multiple reflections without requiring model information or adaptive subtraction.…”

Section: Introductionmentioning

confidence: 99%

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A field data example of Marchenko multiple elimination

Zhang

Slob

2020

GEOPHYSICS

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Internal multiple reflections have been widely considered as coherent noise in measured seismic data, and many approaches have been developed for their attenuation. The Marchenko multiple elimination (MME) scheme eliminates internal multiple reflections without model information or adaptive subtraction. This scheme was originally derived from coupled Marchenko equations, but it was modified to make it model independent. It filters primary reflections with their two-way traveltimes and physical amplitudes from measured seismic data. The MME scheme is applied to a deepwater field data set from the Norwegian North Sea to evaluate its success in removing internal multiple reflections. The result indicates that most internal multiple reflections are successfully removed and primary reflections masked by overlapping internal multiple reflections are recovered.

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Multiple Matching Attenuation Based on Curvelet Domain Extended Filtering

Hua,

Chen,

et al. 2024

J. Ocean Univ. China

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Marchenko scheme based internal multiple reflection elimination in acoustic wavefield

Cited by 39 publications

References 13 publications

A field data example of Marchenko multiple elimination

A field data example of Marchenko multiple elimination

A field data example of Marchenko multiple elimination

Multiple Matching Attenuation Based on Curvelet Domain Extended Filtering

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