Abstract
In this paper, we consider new solution methods for seismic deconvolution problem in seismic data processing. We study regularization methods and introduce a hybrid regularization scheme for seismic deconvolution. Fast gradient descent meth- ods are considered for solving the hybrid regularization model. An l1 minimization model based on primal-dual interior point methods is presented and used for compari- son. Numerical experiments for synthetic signal simulations and field data applications are given. The results show the potentials for applications of the developed method.
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