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Optimization‐based recursive filtering for separation of signal from harmonics in vibroseis
Author(s) -
Denisov M.S.,
Egorov A.A.,
Shneerson M.B.
Publication year - 2021
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1111/1365-2478.13084
Subject(s) - seismic vibrator , harmonics , noise (video) , computer science , algorithm , harmonic , amplitude , regional geology , acoustics , signal (programming language) , speech recognition , geology , metamorphic petrology , physics , seismology , artificial intelligence , optics , quantum mechanics , voltage , image (mathematics) , tectonics , programming language
Harmonic noise may significantly complicate the processing of slip‐sweep vibroseis data. We propose a model of this noise and an optimal recursive filtering algorithm based on this model. In contrast to some alternatives, this method can remove harmonic noise caused by all the events on the seismic gather, instead of only removing the noise associated with the first arrivals. First, the algorithm predicts a number of noise models that correspond to the harmonics of different orders. Second, these models are subtracted from the input gather via adaptive subtraction, which estimates frequency‐dependent relative amplitudes of harmonics and introduces the needed phase shifts into the noise models. When applied to the field vibroseis data, the proposed algorithm successfully separates the harmonic noise from the signal.