Vibrator Data Denoising Based on Fractional Wavelet Transform

被引：8
|
作者：
Zheng, Jing [1 ,2 ]
Zhu, Guowei [1 ,2 ]
Liu, Mingchu [3 ]
机构：
[1] China Univ Min & Technol, State Key Lab Coal Resources & Safe Min, Beijing, Peoples R China
[2] China Univ Min & Technol, Coll Geosci & Surveying Engn, Beijing, Peoples R China
[3] Pingxiang Coll, Pingxiang, Peoples R China
来源：
ACTA GEOPHYSICA | 2015年 / 63卷 / 03期
关键词：
seismic method; vibrator data; chirp signals; noise attenuation; fractional wavelet transform;
D O I：
10.1515/acgeo-2015-0009
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
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 time-fractional-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.
引用
收藏
页码：776 / 788
页数：13
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