Harmonic noise may significantly impact the quality of vibroseis seismic data, particularly in case of slip-sweep acquisition. The existing methods either remove only a part of harmonic noise generated by early arrivals, or have some underlying assumptions that, in some cases, may be violated. We propose a method for the removal of harmonic noise based on optimized recursive filtering. First, the algorithm predicts the harmonic noise associated with all events on the gathers. Second, it removes the predicted noise using adaptive subtraction. When applied to the field vibroseis data, the proposed algorithm successfully removes the harmonic noise, which we prove by analyzing the data in the time domain and in the Gabor domain.


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