Multicomponent inverse scattering series internal multiple prediction Part II: Synthetic application

Jian Sun, Kris Innanen, Daniel Trad and Yu Geng

ABSTRACT

Identifying lower-higher-lower relationship is essential to inverse scattering series in-ternal multiple prediction, which is more difficult for multicomponent predictions due to the wave-mode conversion of P- and S-waves. Since only conversions happened in the top layer can be handled by the algorithm, the input preparation for elastic internal multiple prediction becomes to an intractable problem. In paper of part I, we analytically analyzed the advantages and defects of input preparation using different methods, elastic stolt-migration, vertical traveltime stretching, and best-fitting velocity obtained by high resolution radon transform. In this paper, to examine the conclusions indicated previously, a synthetic model is utilized to implemented the multicomponent internal multiple prediction with different inputs generated by these approaches.

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