SEG Technical Program Expanded Abstracts 2010 2010
DOI: 10.1190/1.3513561
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Surface multiple attenuation in seabeach‐shallow water, case study on data from the Bohai Sea

Abstract: Surface related multiple elimination (SRME) method is known to have difficulties in attenuating shallow water multiples. Particularly, for water-layer related multiples in very shallow water environments such as seabeach-shallow water areas because the primary water-bottom reflection that is required by SRME for predicting the multiples is not recorded due to near offset gap. Thus, predictive deconvolution in either x-t or tau-p domain is often used in processing workflow to suppress this kind of multiples in … Show more

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Cited by 18 publications
(12 citation statements)
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“…The most challenging task in processing this data set was how to attenuate the multiples without damaging both primaries and receiver ghosts. Tests show Shallow Water De-multiple (SWD, Hung et. al, 2010) plus Taup-Decon is the most effective sequence.…”
Section: Final Pstm Imagesmentioning
confidence: 99%
“…The most challenging task in processing this data set was how to attenuate the multiples without damaging both primaries and receiver ghosts. Tests show Shallow Water De-multiple (SWD, Hung et. al, 2010) plus Taup-Decon is the most effective sequence.…”
Section: Final Pstm Imagesmentioning
confidence: 99%
“…Data from the 'missing' streamers can be interpolated reasonably effectively using well-established methods in either the f-x domain (Spitz, 1991) or t-x domain (Claerbout, 1992), as long as the cross-line dip is reasonably benign. However, in cases where the sampling is inadequate even after interpolation, the multiple prediction and hence the reliability of the subtraction in 3d SRME is compromised (Baumstein et al, 2009) Van Borselen et al (2005), McHugo et al (2009) and Hung et al (2010) compare the effectiveness of 2D and 3D SRME on seismic data with significant seabed structure. However, in cases where the sampling is inadequate even after interpolation, the multiple prediction and hence the reliability of the subtraction in 3d SRME is compromised (Baumstein et al, 2009) Van Borselen et al (2005), McHugo et al (2009) and Hung et al (2010) compare the effectiveness of 2D and 3D SRME on seismic data with significant seabed structure.…”
Section: Srme: 2d Vs 3d Applicationmentioning
confidence: 99%
“…In shallow water, short-period multiples have been usually attenuated by using predictive deconvolution in the x-t or tau-p domains (i.e., [5,6]). However, this approach attenuates all events with the period close to the water layer, including the primaries and interbed multiples.…”
Section: Introductionmentioning
confidence: 99%