Abstract

Global coherency inversion, which consists of maximizing a semblance function calculated from prestack seismic data, has been proposed for estimating the velocity-depth model with no necessity for prestack or poststack travel time picking. At each iteration of inversion, multioffset travel time calculation is performed and the semblance value is computed on prestack gathers along these time curves. Layer velocities and zero-offset times for principle reflectors are chosen as inversion parameters. In this work, coherency optimization is based on a new Regularized Global Approximation method (unlike simulated annealing or genetic algorithms, i t includes a predictor-corrector procedure with significantly reduces the number of evaluations of the objective function.

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