Elimination of surface‐related multiply reflected and converted waves

Verschuur, D.J.; Herrmann, P.; Kinneging, N. A.; Wapenaar, Kees; Berkhout, A. J.

doi:10.1190/1.1892185

Cited by 14 publications

(6 citation statements)

References 2 publications

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“…Berkhout ͑1982͒ andVerschuur et al ͑1992͒ assume that each impulse response of the subsurface has been generated by a dipole source at the surface because a vertical derivative can be simulated by putting two monopole sources with opposite signs spaced closely with one above the other, thus constituting a dipole source. In the past, various approaches have been followed to include this effect.…”

Section: ͑12͒mentioning

confidence: 99%

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20. Signal Processing

Zwartjes¹,

Sacchi²

2010

Geophysics Today

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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.

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Section: ͑12͒mentioning

confidence: 99%

“…an adaptive fashion by Verschuur et al ͑1988͒, and extended to the 2D case by Wapenaar and Berkhout ͑1989͒.…”

Section: Converted Wavesmentioning

confidence: 99%

20. Signal Processing

Zwartjes¹,

Sacchi²

2010

Geophysics Today

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“…The effect is that we obtain " primary " P and S wave responses. For this steI we refer to Verschuur et al (1988).…”

Section: Ladecomposition Of the Multi-component Data ( Pseudo Pmentioning

confidence: 99%

Seismic preprocessing in terms of wave‐field decomposition at the surface

Herrmann¹,

Wapenaar²,

Berkhout³

1989

SEG Technical Program Expanded Abstracts 1989

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In the seismic industry there is an important trend towards multi-component data acquisition, with different source types. Such methods enable to derive more accurate and more complete infomlation on the elastic properties of the subsurface. In the case of land data for which stresses are applied on the surface. and particle velocities are recorded along the three coordinate axis on the free surface, the measured multi-component data are a mixture of P and S wave field. However, we want to deduce from the data the response of the medium in terms of pure upgoing P and S waves due to pure downgoing P and S wave sources. For this we have to extract in the original data the part of the upgoing P and S waves reaching the acquisition surface. This operation will be called : " decomposition at the receiver side ' I. As generally sources emit a mixture of P and S waves, we also have to transform the data, to make them as shot with pure P and S wave sources. This operation will be called : " decomposition at rhe source side ' I. The proposed decomposition is based on the elastic wave equations for the surface layer only.

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“…After this step the reflecting surface is effectively replaced by a reflection-free surface and the data can be considered as the upgoing part of the pressure field. More information can be found in Verschuur et al (1988).…”

Section: Introductionmentioning

confidence: 98%

EFFICIENT 2D AND 3D SHOT RECORD REDATUMING¹

Kinneging

Budejicky

Wapenaar

et al. 1989

Geophysical Prospecting

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KINNEGING, N.A., BUDEJICKY, V., WAPENAAR, C.P.A. and . Efficient 2D and 3D shot record redatuming. Geophysical Prospecting 37,493-530.In order to make 3D prestack depth migration feasible on modern computers it is necessary to use a target-oriented migration scheme. By limiting the output of the migration to a specific depth interval (target zone), the efficiency of the scheme is improved considerably. The first step in such a target-oriented approach is redatuming of the shot records at the surface to the upper boundary of the target zone. For this purpose, efficient non-recursive wavefield extrapolation operators should be generated. We propose a ray tracing method or the Gaussian beam method. With both methods operators can be efficiently generated for any irregular shooting geometry at the surface. As expected, the amplitude behaviour of the Gaussian beam method is better than that of the ray tracing based operators.The redatuming algorithm is performed per shot record, which makes the data handling very efficient. From the shot records at the surface 'genuine zero-offset data' are generated at the upper boundary of the target zone. Particularly in situations with a complicated overburden, the quality of target-oriented zero-offset data is much better than can be reached with a CMP stacking method at the surface. The target-oriented zero-offset data can be used as input to a full 3D zero-offset depth migration scheme, in order to obtain a depth section of the target zone.

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Elimination of surface‐related multiply reflected and converted waves

Cited by 14 publications

References 2 publications

20. Signal Processing

20. Signal Processing

Seismic preprocessing in terms of wave‐field decomposition at the surface

EFFICIENT 2D AND 3D SHOT RECORD REDATUMING¹

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Elimination of surface‐related multiply reflected and converted waves

Cited by 14 publications

References 2 publications

20. Signal Processing

20. Signal Processing

Seismic preprocessing in terms of wave‐field decomposition at the surface

EFFICIENT 2D AND 3D SHOT RECORD REDATUMING1

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EFFICIENT 2D AND 3D SHOT RECORD REDATUMING¹