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Sirgue, Laurent, 2003. Inversion de la forme d'onde dans le ...

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1.3. QUANTITATIVE MIGRATION AND LINEARISED INVERSION 5<br />

the wave equation have shown to be more robust since they account for <strong>la</strong>ter arrivals (Ehinger<br />

et al., 1996). However, even when the macro-mo<strong>de</strong>l exp<strong>la</strong>ins correctly the kinematic aspect of<br />

the imaging, an accurate migration was not originally expected to provi<strong>de</strong> a quantitative estimation<br />

of the ref<strong>le</strong>ctivity field. Therefore, the result of migration cannot be linked to physical<br />

parameters that may more rigorously <strong>de</strong>scribe the mo<strong>de</strong>l.<br />

1.3 Quantitative migration and linearised inversion<br />

Many techniques have been proposed to provi<strong>de</strong> quantitative estimates of the mo<strong>de</strong>l parameters.<br />

Most of these techniques rely on: 1- the ray theory and 2- the Born approximation (Born, 1923)<br />

or the Kirchhoff approximation (Schnei<strong>de</strong>r, 1978). They can all be <strong>de</strong>fined within the context<br />

of linearised inverse prob<strong>le</strong>m theory (Lailly, 1983; Taranto<strong>la</strong>, 1984b), where the inverse of the<br />

linear forward operator must be estimated. In an early work, Cohen and B<strong>le</strong>istein (1979) <strong>de</strong>fined<br />

a direct inverse operator for zero offset data. Thereafter, inversion procedures for prestack<br />

data were proposed (C<strong>la</strong>yton and Stolt, 1981; Beylkin, 1985; Ikel<strong>le</strong> et al., 1986; Mil<strong>le</strong>r et al.,<br />

1987). These <strong>de</strong>velopments initiated the concept of migration/inversion using kinematic Kirchhoff<br />

migration where amplitu<strong>de</strong> are estimated using the Born or the Kirchoff approximations<br />

(B<strong>le</strong>istein, 1987; B<strong>le</strong>istein et al., 1987; Beydoun and Men<strong>de</strong>s, 1989). These types of migration<br />

methods are commonly used because of their computational efficiency for manipu<strong>la</strong>ting very<br />

<strong>la</strong>rge data sets (Thierry et al., 1999). As an alternative to the direct inverse method, iterative<br />

methods are often consi<strong>de</strong>red more robust (Lambaré et al., 1992; Jin et al., 1992; Nemeth et al.,<br />

1999). Iterative methods rely on the explicit minimisation of <strong>le</strong>ast-square misfit function and are<br />

more efficient in handling incomp<strong>le</strong>te data sets. As discussed in the previous section, one of the<br />

difficulty of ray-based migration is its difficulty in accounting for multipathing. More advanced<br />

ray tracing methods have therefore been proposed with the concept of waveform construction<br />

(Vinje et al., 1993; Lambaré et al., 1996) and have shown to improve the quantitative estimation<br />

of migration/inversion (Operto et al., 2000).<br />

However, the accuracy of the estimation of the mo<strong>de</strong>l parameter using linearised inversion<br />

is limited by the validity of the Born or the Kirchoff approximation. For examp<strong>le</strong>, the<br />

Born approximation only accounts for first or<strong>de</strong>r scattering and is only valid in the presence of<br />

small velocity perturbation (Kel<strong>le</strong>r, 1969; Beylkin and Ostroglio, 1985; Beydoun and Taranto<strong>la</strong>,<br />

1988). On the other hand, the Kirchoff approximation accounts for the ref<strong>le</strong>ctivity which cannot<br />

directly be re<strong>la</strong>ted to velocity. Amplitu<strong>de</strong> versus offset (AVO) analysis are then required to

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