Optimization‐based recursive filtering for separation of signal from harmonics in vibroseis

Autor: Anton Egorov, Mikhail B. Shneerson, Mikhail S. Denisov
Rok vydání: 2021
Předmět:
Zdroj: Geophysical Prospecting. 69:779-798
ISSN: 1365-2478
0016-8025
DOI: 10.1111/1365-2478.13084
Popis: 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.
Databáze: OpenAIRE
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