2004
DOI: 10.1046/j.1365-2478.2004.00400.x
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2.5D modelling, inversion and angle migration in anisotropic elastic media

Abstract: 2.5D modelling approximates 3D wave propagation in the dip‐direction of a 2D geological model. Attention is restricted to raypaths for waves propagating in a plane. In this way, fast inversion or migration can be performed. For velocity analysis, this reduction of the problem is particularly useful. We review 2.5D modelling for Born volume scattering and Born–Helmholtz surface scattering. The amplitudes are corrected for 3D wave propagation, taking into account both in‐plane and out‐of‐plane geometrical spread… Show more

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Cited by 5 publications
(6 citation statements)
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References 33 publications
(67 reference statements)
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“…In this section, we illustrate the relative significance (magnitude) of the factors making up the amplitude in 2.5‐D imaging inversion according to . We use ocean bottom cable (OBC) data (a single cable) from the North Sea, the same data we used in another paper, in which we developed and carried out reflection tomography in 2.5‐D (Foss et al 2004). We apply the transform in both for PP and PSV reflection data and assume a transversely isotropic background medium with a vertical axis of symmetry.…”
Section: Examplementioning
confidence: 99%
See 1 more Smart Citation
“…In this section, we illustrate the relative significance (magnitude) of the factors making up the amplitude in 2.5‐D imaging inversion according to . We use ocean bottom cable (OBC) data (a single cable) from the North Sea, the same data we used in another paper, in which we developed and carried out reflection tomography in 2.5‐D (Foss et al 2004). We apply the transform in both for PP and PSV reflection data and assume a transversely isotropic background medium with a vertical axis of symmetry.…”
Section: Examplementioning
confidence: 99%
“…It is not uncommon for ocean bottom cable (OBC) seismic data to be collected along a single line, and the question arises of how to make optimal use of these data. Also, 2.5-D scattering theory can be applied in reflection tomography or migration velocity analysis (Foss et al 2004). Such an application leads to fast, though approximate, algorithms that carry out the reflection tomography slicewise ( Fig.…”
Section: Introductionmentioning
confidence: 99%
“…A similar notation is used for the receiver, namely, p r ( y ) = ( p r 1 , p r 3 ) and p ( x r ). Observe that the out‐of‐plane slowness p 2 is zero in 2.5D (Bleistein 1986; Foss and Ursin 2004). In an isotropic medium, the P‐wave polarization vectors are the unit vectors of the slowness vectors, denoted by h ( x s ) = ( h 1 ( x s ), h 3 ( x s )) and h ( x r ) = ( h 1 ( x r ), h 3 ( x r )) for the polarization vectors at the source and receiver, respectively.…”
Section: Isotropic Pp Common‐image‐point Gathersmentioning
confidence: 99%
“…Here, we present the expressions for the creation of PP common‐image‐point gathers assuming an isotropic medium. A complete description of the 2.5D formulae for anisotropic media and other acquisition geometries can be found in the review by Foss and Ursin (2004). Formulae for the 3D case can be found in the review by Ursin (2004).…”
Section: Introductionmentioning
confidence: 99%
“…Many papers have been published which study and emphasize the importance of generating common-image-angle gathers directly at the subsurface points rather than the universally used surface-offset image gathers, especially in complex geological areas where the wavefield includes multipathing ͑e.g., ten Kroode et al, 1994;Nolan and Symes, 1996;Brandsberg-Dahl et al, 1999;Rousseau et al, 2000;Xu et al, 2001;Audebert et al, 2002;Koren et al, 2002;Rickett and Sava, 2002;Brandsberg-Dahl et al, 2003;Foss and Ursin, 2004;Sollid and Ursin, 2003;Soubaras, 2003;Bleistein et al, 2005aBleistein et al, , 2005bWu and Chen, 2006;Biondi, 2007a Manuscript received by the Editor 28 December 2009; revised manuscript received 13 July 2010; published online 4 January 2011. 1 Although the theory of angle-domain imaging is well established, its implementation, especially for large-scale 3D models or for highresolution reservoir imaging, remains extremely challenging.…”
Section: Introductionmentioning
confidence: 99%