Iterative regularization migration inversion in VTI media
Zhang Hongzhou1,2, Wang Yanfei1
1. Institute of Geology and Geophysics, Key Laboratory of Oil and Gas Resources, Chinese Academy of Sciences, Beijing 100029, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:One of the key issues of seismic imaging in VTI media is to solve ill-posed inverse problems, especially when the inverse operator of a modeling operator cannot be approximated sufficiently by its adjoint.We first discuss in this paper algorithms of migration inversion imaging, which is based on a different strategy from the conventional seismic migration, in VTI media. Then we derive an operator equation of migration, and propose the fixpoint iterative (FPI) regularization migration inversion algorithm.FPI is more computational efficient than conventionally regularization methods, because matrix decompositions are no longer needed in the algorithm. In order to verify the feasibility of our new method, we perform tests on both synthetic and field seismic data. The results show that applications of the fixpoint iteration migration inversion obtain higher data S/N ratio and higher accuracy of seismic imaging than conventional approaches.
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