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General Surface Multiple Prediction (GSMP) - A Flexible 3D SRME Algorithm
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 70th EAGE Conference and Exhibition incorporating SPE EUROPEC 2008, Jun 2008, cp-40-00212
- ISBN: 978-90-73781-53-5
Abstract
Ideal 3D SRME has geometric requirements for its input data that are not met by marine streamer surveys. Consequently, one must either precondition the field data to meet the requirements, or modify the algorithm to match the data. In this paper, we present a new method in the latter category. Our algorithm has many desirable features: it is applicable for any survey geometry and geology, accounts properly for trace azimuth, does not require preconditioning of the field dataset, and predicts diffracted multiples more accurately than other approximations to the ideal 3D SRME algorithm. Analysis of multiples predicted by the algorithm shows that they closely match actual multiples.