NDLI: Extraction of seismic wavelet based on optimal filtering in Fractional Fourier domain

Content Provider	IEEE Xplore Digital Library
Author	Yuan Yuan Zhengming Peng
Copyright Year	2012
Description	Author affiliation: School of Optoelectronic Information, University of Electronic Science and Technology, ChengDu City, Sichuan Province, China (Yuan Yuan; Zhengming Peng)
Abstract	Accurate estimation of seismic wavelet is very important to high-resolution, high-signal-noise ratio and high fidelity petroleum exploration and production data procession. As we known, the underground strata information changes as the depth changes. So it is a time-varying system. Obviously, it's not accurate enough to describe it with the linear time-invariant system. Fractional Fourier transform is suitable for non-stationary signal filtering, and the wavelet extraction can be transformed into the optimal filtering problem in fractional Fourier domain. This paper proposes a novel seismic wavelet extraction algorithm in fractional Fourier domain and seek the optimal filter which minimize the mean square error of the estimate and the true wavelet. The optimal order is found by searching in the range of [−1, 1] in the fractional domain by step 1/200. Finally, we prove the effectiveness of this algorithm by series of experiments and extract seismic wavelet quickly and accurately.
Starting Page	343
Ending Page	346
File Size	166679
Page Count	4
File Format	PDF
ISBN	9781467316965
e-ISBN	9781467316972
e-ISBN	9781467316958
DOI	10.1109/ICCPS.2012.6384291
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Maximum likelihood detection Wavelet domain Wiener filters Filtering Wavelet extraction Noise Estimation Optimal filtering Fractional Fourier transform Seismic wavelet
Content Type	Text
Resource Type	Article

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