Migration amplitude recovery using curvelets

TitleMigration amplitude recovery using curvelets
Publication TypeConference
Year of Publication2007
AuthorsPeyman P. Moghaddam, Felix J. Herrmann, Christiaan C. Stolk
Conference NameCSEG Annual Conference Proceedings

In this paper, we recover the amplitude of a seismic image by approximating the normal operator and subsequently inverting it. Normal operator (migration followed by modeling) is an example of pseudo-differential. curvelets are proven to be invariant under the action of pseudo-differential operators under certain conditions. Subsequently, curvelets are forming as eigen-vectors for such an operator. We propose a seismic amplitude recovery method that employs an eigen-value decomposition for normal operator using curvelets as eigen-vectors and to be estimated eigenvalues. A post-stack reverse-time, wave-equation migration is used for evaluation of the proposed method.

Citation Keymoghaddam2007CSEGmar