This paper presents an application of Wiener filtering to suppress the ground-roll and swell noises, which are with low frequency and high amplitude, included in land and marine seismic data. The noises always contaminate and make invisible the reflections especially in low frequency part of seismic data. The filtering of them without distorting the available frequencies is required in seismic data processing. For this purpose, the Wiener filter is designed to find the filter coefficients which are used to estimate the noises embedded in seismic data. Therefore, the noise estimation has been adaptively subtracted from the data to perform the filtering process. The applications of the method to both land and marine datasets show that the proposed filtering is effective in protecting available reflection signal and also provide a much improved quality of deep part of stack sections compared with the conventional classical band-pass filtering.

Keywords: Low frequencies, ground roll noise, swell noise

REFERENCES

Claerbout J.F. Fundamentals of Geophysical Data Processing with applications to petroleum prospecting. McGraw-Hill. New York, U.S.A, 1976, 274 p.

Deighan A., Watts D. Ground-roll suppression using the wavelet transform. Geophysics. Vol. 62, 1997, pp. 1896-1903.

Dondurur D., Karslı H. Swell Noise Suppression by Wiener Prediction Filter. Journal of Applied Geophysics, Vol. 80, 2012, pp. 91-100.

Karslı H., Bayrak Y. Using the Wiener-Levinson Algorithm to Suppress Ground-Roll, Journal of Applied Geophysics, Vol. 55, 2004, pp. 187-197.

Liu X. Ground roll suppression using the Karhuren–Loeve transform. Geophysics, Vol. 64, 1999, pp. 564-566.

ten Kroode F., Bergler S., Corsten C., de Maag, J.W., Strijbos F., Tijhof H. Broadband seismic data-The importance of low frequencies, Geophysics, Vol. 78(2), 2013, WA3-WA14.

Yilmaz O. Seismic Data Analysis: Processing, Inversion, and Interpretation of Seismic Data. Society of Exploration Geophysicists, Tulsa, OK, 2001, 1028 p.

Yuan Y., Li Y., Li G., Liu S. Adaptive ground-roll attenuation using local nonlinear filtering. Computer and Geosciences, Vol. 64, 2022, DOI:10.1016/j.cageo.2022.105124.