2004
DOI: 10.1190/1.1649394
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Velocity model estimation with data‐derived wavefront attributes

Abstract: Kinematic information for constructing velocity models can be extracted in a robust way from seismic prestack data with the common-reflection-surface (CRS) stack. This data-driven process results, in addition to a simulated zero-offset section, in a number of wavefront attributes-wavefront curvatures and normal ray emergence angles-associated with each simulated zerooffset sample. A tomographic inversion method is presented that uses this kinematic information to determine smooth, laterally heterogeneous, isot… Show more

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Cited by 149 publications
(92 citation statements)
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“…It provides simulated ZO sections and data-derived wavefield attributes, also called CRS parameters. These parameters offer several important subsequent seismic applications, e.g., macro velocity model building by reflection tomography, improved multiple suppression and geometrical spreading correction (e.g., Duveneck 2004;Zaske et al 1999;Vieth 2001;Höcht 2002). In the CRS stack the local dip of the structures is automatically taken into account and does not require any particular dip moveout processing.…”
Section: The Common Reflection Surface Stack Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…It provides simulated ZO sections and data-derived wavefield attributes, also called CRS parameters. These parameters offer several important subsequent seismic applications, e.g., macro velocity model building by reflection tomography, improved multiple suppression and geometrical spreading correction (e.g., Duveneck 2004;Zaske et al 1999;Vieth 2001;Höcht 2002). In the CRS stack the local dip of the structures is automatically taken into account and does not require any particular dip moveout processing.…”
Section: The Common Reflection Surface Stack Methodsmentioning
confidence: 99%
“…These parameters are related to the location, orientation and local curvature of curved interfaces in the subsurface (Mann et al 1999). These parameters can be used for subsequent processing, e.g., velocity model inversion and multiple suppression (e.g., Zaske et al 1999;Duveneck 2004).…”
Section: Introductionmentioning
confidence: 99%
“…12 The CDP gathers of the real data a before noise attenuation and b after pre-processing steps; data ready for the CRS and the FO-CDS stacking methods sections were used as input for the post stack Kirchhoff depth imaging. The migration velocity model obtained by the NIP tomography method which was introduced by Duveneck (2004). The velocity model is shown in Fig.…”
Section: Real Land Data Examplementioning
confidence: 99%
“…Note that, by retrieving the sparsest source (reflections), the BSS method was able to provide a section that is almost free of diffractions, which contrasts with the stacked section obtained by the CRS. This result would be particularly interesting in the context of Normal-incidentpoint (NIP) tomography, since the input data to the inversion processing is obtained by picking a set of reflection events (Duveneck, 2004). …”
Section: Example With Synthetic Datamentioning
confidence: 99%
“…A particular application of the CRS parameters is the so-called Normal-Incidence-Point (NIP) tomography (Duveneck, 2004).…”
Section: Introductionmentioning
confidence: 99%