Residual statics estimation by sparsity maximization

摘要: ABSTRACTResidual statics estimation in complex areas is one of the main challenging problems seismic data processing. It well known that result this processing step has a profound effect on quality final reconstructed image. A novel method presented to compensate for surface-consistent residual static corrections based sparsity maximization, which proved be powerful tool analysis and signals related problems. The hypothesis time shift represents itself by noise-like features Fourier or curvelet domain. Residual are then retrieved optimizing these domains. Here, model considered as maximizer lp-norm (p>2) coefficients sparse domain, fast efficient algorithm iteratively solve corresponding nonlinear optimization problem. Applications synthetic real show very high performance of...