The potential of a novel inversion procedure using multicomponent seismic data for lithology discrimination is being addressed. The input to the procedure is a set of orthogonal AVO coefficients extracted from multicomponent seismic data (generalized AVO). The generalized AVO decomposition can be performed for transverse isotropic media and options exist to compensate for transmission effects. The orthogonal AVO coefficients are input to an Expectation Maximation-type of clustering algorithm and in this way the inversion to AVO classes is performed. The procedure was applied to a multi-component data set from the Grane field in the North Sea. The Grane field consists of Palaeocene turbidite sandstones that have undergone syn- and post- depositional deformations causing extensive sand injections into the surrounding formations. As a consequence the lithology distributions are expected to be complex.

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