Multifocusing Imaging Comparisons Study Based On Cuckoo Search Algorithm

Conventional NMO method causes severe stretching distortion. Moreover, for rugged topography data, conventional NMO and stack are based on the elevation static correction, which can be inaccurate because the assumption of vertical ray path is no longer valid. MF method has great advantages because it not only brings no stretching distortion but also can be directly applied without elevation static correction. MF-based stack method can improve SNR on stack section because this method can stack image traces from different CMP gathers. However, the determination of three MF parameters is the most key as well as difficult issue in MF method. In this article, we introduced a new metaheuristic global optimization algorithm, Cuckoo Search (CS), to calculate three parameters. On physical model with rugged topography data, we tested two MF methods, relief surface MF method and implicit spherical MF method. Both methods show better time correction result without elevation static correction than NMO result, while relief surface MF has better time correction than implicit spherical MF because the latter one calculate corrections without considering sources’ and receivers’ elevation.