Shallow-water Free-surface Multiple Attenuation on Multimeasurement Data - A Case Study from the North Sea

Melo, Frederico Xavier de; Kostov, C.; Cooke, Alex

doi:10.3997/2214-4609.201600873

Cited by 7 publications

(1 citation statement)

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“…Primary estimates can be accurately derived with highfidelity 3D shallow-water multiple attenuation techniques, such as the one described by Xavier de Melo et al (2016). This same approach can also be extended to extract accurate models of source-and receiver-side water-layerrelated surface multiples, which are used to separate the recorded multiples in a least-squares sense.…”

Section: Primary Image 1 St Order Wb Multiplementioning

confidence: 99%

Practical aspects when imaging using multiples with the Kirchhoff method

Kristiansen¹,

Melo²,

Nichols³

2019

Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef

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Section: Primary Image 1 St Order Wb Multiplementioning

confidence: 99%

Practical aspects when imaging using multiples with the Kirchhoff method

Kristiansen¹,

Melo²,

Nichols³

2019

Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef

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Enhancing internal multiple prediction by using the inverse-scattering series: Methodology and field application

Melo

et al. 2021

GEOPHYSICS

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We introduce four approaches that dramatically enhance the application of the inverse scattering series method for field data internal multiple prediction. The first approach aims to tackle challenges related to input data conditioning and interpolation. We addressed this through an efficient and fit-for-purpose data regularization strategy, which in this work was a nearest-neighbor search followed by differential moveout to accommodate various acquisition configurations. The second approach addresses cost challenges through applying angle constraints over both the dip angle and opening angle, reducing computational cost without compromising the model’s quality. We also propose an automatic solution for parameterization. The third approach segments the prediction by limiting the range of the multiple’s generator, which can benefit the subsequent adaptive subtraction. The fourth approach works on improving predicted model quality. The strategy includes correctly incorporating the 3D source effect and obliquity factor to enhance the amplitude fidelity of the predicted multiples in terms of frequency spectrum and angle information. We illustrate challenges and report on the improvements in cost, quality or both from the new innovative approaches, using examples from synthetic data and from three field data 2D lines representative of shallow and of deep water environments.

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Closed-loop surface-related multiple estimation with full-wavefield migration-reconstructed near offsets for shallow water

Zhang

Verschuur

2021

GEOPHYSICS

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Reliably separating primary and multiple reflections in a shallow water environment (i.e., 50 m to 200 m water depth) still remains a challenge. The success of previously published closed-loop surface-related multiple estimation (CL-SRME) depends heavily on the data coverage, i.e., the near-offset reconstruction. Therefore, we propose the integrated framework of CL-SRME and full-wavefield migration (FWM). Multiples recorded in the data are capable of helping infill the acquisition imprint of the FWM image. With this image as a strong constraint, we are able to reconstruct the data at near-offsets, which is essential for better primary and multiple estimation during CL-SRME. FWM applied in a non-linear way can avoid the negative influences from the missing data, and at the same time bring in more physics between primaries and multiples. The FWM image of the top part of the subsurface is also used to back-project the information from multiples to primaries with the physical constraint of all this information belongs to the same earth model, provided that a good description of the source wavefield and a reasonable velocity model are available. The proposed integrated framework first reconstructs near-offsets via the closed-loop imaging process of FWM and then feeds the complete reconstructed data to CL-SRME for better primary and multiple estimation. A good performance is demonstrated on both 2D synthetic and field data examples in a challenging shallow water environment.

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Shallow-water Free-surface Multiple Attenuation on Multimeasurement Data - A Case Study from the North Sea

Cited by 7 publications

References 0 publications

Practical aspects when imaging using multiples with the Kirchhoff method

Practical aspects when imaging using multiples with the Kirchhoff method

Enhancing internal multiple prediction by using the inverse-scattering series: Methodology and field application

Closed-loop surface-related multiple estimation with full-wavefield migration-reconstructed near offsets for shallow water

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