A seismic method for oil and gas exploration is briefly considered. Basic mathematical methods applied to seismic data processing are described. The need for high-performance computing at timely processing present-day field data is substantiated. The performance of cluster file systems of Russian supercomputers, CHEBYSHEV and LOMONOSOV, is studied for the problems of standard data processing. Time-consuming algorithms for regular noise attenuation, depth imaging, and static correction are discussed along with examples of their application.

Keywords: seismic exploration, supercomputer, digital data processing, attenuation of noise multiples, seismic migration

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