Abstract
We introduce a multichannel blind deconvolution algorithm for seismic signals based on Markov-Bernoulli random field modeling. The proposed model accounts for layer discontinuities resulting from splitting, merging, starting or terminating layers within the region of interest. We define a set of reflectivity states and legal transitions between reflector configurations of adjacent traces, and subsequently extract sequences of reflectors that are connected across the traces by legal transitions. The improved performance of the proposed algorithm and its robustness to noise, compared to a competitive algorithm, are demonstrated using simulated and real seismic data examples.
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