3D Surface-Related Multiple Modeling

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

doi:10.3997/2214-4609-pdb.1.a028

Cited by 6 publications

(6 citation statements)

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“…The main objective is to uncover primaries masked by strong multiple events using a multiple model. The 3D-SRME model [31] shown in Figures 2b and 3b achieves good precision on the near and mid offset range. We compare the proposed method based on 1D complex unary filters in wavelet domain, with reference algorithms based on standard 1D and 2D adaptive filters.…”

Section: Unary Filter Estimation: Amplitude and Delaymentioning

confidence: 88%

“…The second approach includes prediction filters and variations thereof [38,1,37], also termed identification, updating, shaping, sequential or matching filters in electrical engineering literature [33] or predictive deconvolution [40]. Recently, modeling based techniques, such as surface-related multiple estimation (SRME), have demonstrated excellent performance, allowing data-driven multiple removal [45,50,23] or model-driven, wave-equation based, multiple removal [31,51]. These methods, based on multiple models, consist in predicting then subtracting multiple events from original seismic data.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive multiple subtraction with wavelet-based complex unary Wiener filters

Ventosa¹,

Roy

Huard

et al. 2012

GEOPHYSICS

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Adaptive subtraction is a key element in predictive multiple-suppression methods. It minimizes misalignments and amplitude differences between modeled and actual multiples, and thus reduces multiple contamination in the dataset after subtraction. Due to the high crosscorrelation between their waveform, the main challenge resides in attenuating multiples without distorting primaries. As they overlap on a wide frequency range, we split this wide-band problem into a set of more tractable narrow-band filter designs, using a 1D complex wavelet frame. This decomposition enables a single-pass adaptive subtraction via complex, single-sample (unary) Wiener filters, consistently estimated on overlapping windows in a complex wavelet transformed domain. Each unary filter compensates amplitude differences within its frequency support, and can correct small and large misalignment errors through phase and integer delay corrections. This approach greatly simplifies the matching filter estimation and, despite its simplicity, narrows the gap between 1D and standard adaptive 2D methods on field data * .

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Section: Unary Filter Estimation: Amplitude and Delaymentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Adaptive multiple subtraction with wavelet-based complex unary Wiener filters

Ventosa¹,

Roy

Huard

et al. 2012

GEOPHYSICS

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“…where the data is convolved with itself as a first estimate of the primary wave field. The latter utilizes a wave field modeling technique where the multiple wave field is constructed shot by shot by convolution with a primary or reflectivity model (Pica, et al, 2005).…”

Section: D Srme (Surface Related Multiple Elimination)mentioning

confidence: 99%

Kumano-nada 3D seismic data acquisition and processing

Uraki

Kido

Yukitoshi

et al. 2009

BUTSURI-TANSA(Geophysical Exploration)

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In the Nankai Trough off Kii Peninsula, the first scientific drilling by D/V Chikyu commenced in September 2007 as a major component of the Integrated Ocean Drilling Program (IODP), which has been an international collaborative scientific drilling program together with 22 countries since October 2003. One of its scientific challenges is to drill through the seismogenic zone to reveal the nature and mechanism of large earthquake generation. Prior to drilling, we carried out a 2D seismic survey in 2003 to identify hazards for safe and smooth drilling operation and to obtain detailed characteristics of the accretionary prism. The 2D seismic profiles, however, have some technical limitation of imaging at some targets due to the complexities of sea floor topography and sub bottom geological structures. To extend the 2D seismic results, a high resolution 3D seismic survey was conducted by M/V Nordic Explorer (PGS) in 2006. The survey area was outside shipping lanes, and fishing activities were well managed. There was, however, a strong Kuroshio Current in the southern part of the 3D survey area which significantly affected both data acquisition and data processing. The appropriate data processing including Pre-Stack Time Migration (PSTM) was carried out by CGGAP (currently CGGVeritas). To deal with the data characteristics, the processing emphasized the following three points: swell noise attenuation, multiple reflection attenuation, and handling of irregular acquisition geometry. The seismic cube, obtained as the data processing result, shows clear images of the shallow geology and most deeper targets. The Kumano-nada 3D seismic data provided information required for the scientific drilling by D/V Chikyu, and has been providing valuable information for marine science in the area.

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“…For all these reasons the wavefield extrapolation approach (Berryhill and Kim 1986;Wiggins 1988;Kabir, Abma and Xia 2004) is still a useful alternative as pointed out by Stork et al (2006). Pica et al (2005) showed that all surface multiples can be predicted by using accurate 3D models of subsurface reflectivity and velocity. While in SRME multiples are predicted by adding one round trip through the subsurface, using the data themselves as the extrapolation operator, in wavefield extrapolation methods the round trip is added by explicit wavefield computation.…”

Section: Introductionmentioning

confidence: 99%

Water‐bottom multiple attenuation by Kirchhoff extrapolation

Spadavecchia

Lipari

Bienati

et al. 2013

Geophysical Prospecting

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A B S T R A C TDespite being less general than 3D surface-related multiple elimination (3D-SRME), multiple prediction based on wavefield extrapolation can still be of interest, because it is less CPU and I/O demanding than 3D-SRME and moreover it does not require any prior data regularization. Here we propose a fast implementation of water-bottom multiple prediction that uses the Kirchhoff formulation of wavefield extrapolation. With wavefield extrapolation multiple prediction is usually obtained through the cascade of two extrapolation steps. Actually by applying the Fermat's principle (i.e., minimum reflection traveltime) we show that the cascade of two operators can be replaced by a single approximated extrapolation step. The approximation holds as long as the water bottom is not too complex. Indeed the proposed approach has proved to work well on synthetic and field data when the water bottom is such that wavefront triplications are negligible, as happens in many practical situations.

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3D Surface-Related Multiple Modeling

Cited by 6 publications

References 0 publications

Adaptive multiple subtraction with wavelet-based complex unary Wiener filters

Adaptive multiple subtraction with wavelet-based complex unary Wiener filters

Kumano-nada 3D seismic data acquisition and processing

Water‐bottom multiple attenuation by Kirchhoff extrapolation

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