A new look at simultaneous sources

Beasley, Craig J.; Chambers, Ron; Jiang, Zerong

doi:10.1190/1.1820149

Cited by 196 publications

(58 citation statements)

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“…Furthermore, by including the concept of blending ͑see, e.g., Beasley et al, 1998;Stefani et al, 2007;Berkhout, 2008͒, a dense and broadband illumination of the subsurface is obtained with a limited number of physical experiments. In this paper, we will demonstrate this property for the relatively strong surfacerelated multiples.…”

Section: Introductionmentioning

confidence: 99%

Seismic migration of blended shot records with surface-related multiple scattering

2011

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This paper focuses on the concept of using blended data and multiple scattering directly in the migration process, meaning that the blended input data for the proposed migration algorithm includes blended surface-related multiples. It also means that both primary and multiple scattering contribute to the seismic image of the subsurface. Essential in our approach is that multiples are not included in the Green's functions but are part of the incident wavefields, utilizing the so-called double illumination property. We find that complex incident wavefields, such as blended primaries and/or blended multiples, require a reformulation of the imaging principle in order to provide broadband angle-dependent reflection properties.

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Section: Introductionmentioning

confidence: 99%

Seismic migration of blended shot records with surface-related multiple scattering

2011

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“…In the marine case, the concept of blending is not so widespread. Although the idea was proposed years ago, see Beasley et al (1998), no blended production surveys have been reported to date.…”

Section: Introductionmentioning

confidence: 99%

Separation of Blended Data by Sparse Inversion Utilizing Surface-related Multiples

Doulgeris¹,

Verschuur²,

Blacquière³

2012

Proceedings

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SUMMARYBlended surveys have recently appeared in production environments. This underlines the need for processing tools that will either process the recorded data directly or perform the separation into single source data (deblending). An inversion technique for the separation of such data is described here. The problem parameterization utilises the surface-related multiples in order to regularise the inversion. In this way, the separation and surface-related multiple elimination are performed in one step. Also, the physical meaning of the model space is exploited during the inversion by formulating the problem as a Basis Pursuit Denoise problem. The method has been applied on a synthetic dataset and it produced promising results.

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“…Such a paradigm of productivity increase has not been realized for the marine case yet. The use of simultaneous sources in marine surveys was introduced by Beasley et al (1998). This notion was extended to incoherent shooting and blending by Berkhout (2008) in order to achieve better illumination of the subsurface, see also Berkhout et al (2010).…”

Section: Introductionmentioning

confidence: 99%

Iterative separation of blended marine data: Discussion on the coherence‐pass filter

Doulgeris

Mahdad

Gerrit

2011

SEG Technical Program Expanded Abstracts 2011

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A new look at simultaneous sources

Cited by 196 publications

References 1 publication

Seismic migration of blended shot records with surface-related multiple scattering

Seismic migration of blended shot records with surface-related multiple scattering

Separation of Blended Data by Sparse Inversion Utilizing Surface-related Multiples

Iterative separation of blended marine data: Discussion on the coherence‐pass filter

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