Hybrid, wavelet transform based, noise attenuation

Authors:
Rongfeng Zhang;Daniel Trad;Tadeusz J. Ulrych
Affiliations:
Department of Earth and Ocean Sciences, University of British Columbia, 2219 Main Mall, Vancouver, BC, Canada V6T 1Z4. E-mail:rzhang@eos.ubc.ca;Department of Earth and Ocean Sciences, University of British Columbia, 2219 Main Mall, Vancouver, BC, Canada V6T 1Z4. E-mail:rzhang@eos.ubc.ca;Department of Earth and Ocean Sciences, University of British Columbia, 2219 Main Mall, Vancouver, BC, Canada V6T 1Z4. E-mail:rzhang@eos.ubc.ca
Venue:
Integrated Computer-Aided Engineering
Year:
2005

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Abstract

Field seismic data often contain various types of strong or weak noise and interferences. If the noise is several orders of magnitude larger than the signal, most techniques applied in seismic data processing will be severely affected. Denoising methods, even very robust schemes such as physical wavelet frame denoising are no exception. In this paper, we present a robust, data adaptive and fast 1D wavelet transform method to attenuate this type of noise and develop a hybrid strategy for noise attenuation in combination with the 2D wavelet frame denoising.