Vibrator Data Denoising Based on Fractional Wavelet Transform |
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| Authors: | Jing Zheng Guowei Zhu Mingchu Liu |
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| Institution: | 1.State Key Laboratory of Coal Resources and Safe Mining,China University of Mining and Technology,Beijing,China;2.College of Geoscience and Surveying Engineering,China University of Mining and Technology,Beijing,China;3.Pingxiang College,Pingxiang,China |
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| Abstract: | In this paper, a novel data denoising method is proposed for seismic exploration with a vibrator which produces a chirp-like signal. The method is based on fractional wavelet transform (FRWT), which is similar to the fractional Fourier transform (FRFT). It can represent signals in the fractional domain, and has the advantages of multi-resolution analysis as the wavelet transform (WT). The fractional wavelet transform can process the reflective chirp signal as pulse seismic signal and decompose it into multi-resolution domain to denoise. Compared with other methods, FRWT can offer wavelet transform for signal analysis in the timefractional-frequency plane which is suitable for processing vibratory seismic data. It can not only achieve better denoising performance, but also improve the quality and continuity of the reflection syncphase axis. |
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