Removal of Random Noise in Seismic Data by Time-varying Window-length Time-frequency Peak Filtering

• Autorzy: Yu P. , Li Y. , Lin H. , Wu N.

Identyfikatory

DOI

10.1515/acgeo-2016-0059

• Języki publikacji: EN

Abstrakty

EN

Time-frequency peak filtering (TFPF) is an effective tool for the removal of random noise and can be used to process seismic data with a low signal-to-noise ratio. A crucial aspect of this algorithm is the choice of window length (WL) of the time-frequency distribution. Whereas a fixed WL cannot simultaneously preserve signal and attenuate noise, timevarying WLs can achieve this goal. We propose a new method, L-DVV (delay vector variance), which successfully processes non-stationary signals by using the surrogate to measure the non-linearity of a time series. This method is sensitive to random noise and can accurately recover seismic signal masked by noise. Since the linearity criterion also meets the unbiased estimation criterion of the TFPF algorithm, the L-DVV method can be used for time-varying WL TFPF processing. Analysis of synthetic and real seismic data shows that the time-varying WL TFPF algorithm is effective at removing noise and recovering seismic signal.

Słowa kluczowe

EN

non-linearity; noise attenuation; TFPF; time-varying WL; L-DVV method

PL

nieliniowość; tłumienie hałasu

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2016
• Tom: Vol. 64, no. 5
• Strony: 1703--1714
• Opis fizyczny: Bibliogr. 13 poz.

Twórcy

autor

Yu P.

• Department of Information Engineering, Jilin University, Changchun, Jilin, China

autor

Li Y.

• Department of Information Engineering, Jilin University, Changchun, Jilin, China

autor

Lin H.

• Department of Information Engineering, Jilin University, Changchun, Jilin, China

autor

Wu N.

• Department of Information Engineering, Jilin University, Changchun, Jilin, China

Bibliografia

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