3D surface-related multiple modeling

Pica, A.; Poulain, G.; David, B.; Magesan, M.; Baldock, S.; Weisser, Tillmann; Hugonnet, P.; Herrmann, P.

doi:10.1190/1.1895315

Cited by 22 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Multiple attenuation is a key pre-processing step, and 3D Surface Related Multiple Elimination (SRME) has been widely adopted where complex multiple wave fields contaminate the data. The shot-based wave field modeling approach developed by Pica et al (2005) lends itself naturally to a shot record WATS processing sequence. This two step approach consists of the generation of a 3D multiple model followed by an adaptive subtraction of the multiple model from the recorded data.…”

Section: Multiple Attenuation Resultsmentioning

confidence: 99%

Processing solutions for wide‐azimuth data: Outcome from a WATS field experiment in deepwater Gulf of Mexico

Magesan

Ferran

Kaculini

et al. 2007

SEG Technical Program Expanded Abstracts 2007

Self Cite

View full text Add to dashboard Cite

Wide Azimuth Towed Streamer (WATS) acquisition has already proved to be a key technique in improving seismic imaging, especially in complex areas such as sub-salt plays. In 2006, a WATS field experiment was conducted in a deep water area of the Gulf of Mexico. The main purpose was to challenge recently developed 3D processing algorithms and find the most suitable processing strategy for a wide azimuth dataset. The results indicate that a 3D shot based processing sequence is an effective solution that accommodates the effects related to the multi-pass acquisition method and realizes the full benefit of the recorded 3D wide azimuth wave field.

show abstract

Section: Multiple Attenuation Resultsmentioning

confidence: 99%

Processing solutions for wide‐azimuth data: Outcome from a WATS field experiment in deepwater Gulf of Mexico

Magesan

Ferran

Kaculini

et al. 2007

SEG Technical Program Expanded Abstracts 2007

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, it is worth noting that for seismic processing tasks several approaches exist that use a specific operator and its adjoint, particularly for data interpolation (Berkhout & Verschuur, 2006;Trad et al, 2002;van Groenestijn & Verschuur, 2009), for multiple prediction (Pica et al, 2005;van Dedem & Verschuur, 2005) and for signal/noise separation (Nemeth et al, 2000). Moreover, we refer to Fomel (2003a) for other applications (stacking, redatuming, offset continuation), for which a technique is proposed to obtain a unitary modeling operator in the context of high frequency approximation.…”

Section: Discussionmentioning

confidence: 99%

Coupling Modeling and Migration for Seismic Imaging

Chauris¹,

Donno²

2012

Seismic Waves - Research and Analysis

View full text Add to dashboard Cite

“…Pica et al ͑2005͒ show that all surface multiples can be predicted using accurate 3D models of the earth's subsurface reflectivity and velocity. One such property is periodicity.…”

Section: Data-driven Concepts and Historymentioning

confidence: 97%

20. Signal Processing

Zwartjes¹,

Sacchi²

2010

Geophysics Today

View full text Add to dashboard Cite

There are numerous methods for interpolating uniformly sampled, aliased seismic data, but few can handle the combination of nonuniform sampling and aliasing. We combine the principles of Fourier reconstruction of nonaliased, nonuniformly sampled data with the ideas of frequency-wavenumber ͑ f-k͒ interpolation of aliased, uniformly sampled data in a new two-step algorithm. In the first step, we estimate the Fourier coefficients at the lower nonaliased temporal frequencies from the nonuniformly sampled data. The coefficients are then used in the second step as an a priori model to distinguish between aliased and nonaliased energy at the higher, aliased temporal frequencies. By using a nonquadratic model penalty in the inversion, both the artifacts in the Fourier domain from nonuniform sampling and the aliased energy are suppressed. The underlying assumption is that events are planar; therefore, the algorithm is applied to seismic data in overlapping spatiotemporal windows.

show abstract

3D surface-related multiple modeling

Cited by 22 publications

References 0 publications

Processing solutions for wide‐azimuth data: Outcome from a WATS field experiment in deepwater Gulf of Mexico

Processing solutions for wide‐azimuth data: Outcome from a WATS field experiment in deepwater Gulf of Mexico

Coupling Modeling and Migration for Seismic Imaging

20. Signal Processing

Contact Info

Product

Resources

About