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二阶同步挤压S变换及其在地震谱分解中的应用 被引量:12

A second-order synchrosqueezing S-transform and its application in seismic spectral decomposition
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摘要 同步挤压S变换是一种处理非平稳信号的新时频变换方法,通过"挤压"信号的S变换结果,可以得到高分辨率的时频谱.但是,当信号的相位随时间呈非线性变化时,同步挤压S变换计算出的瞬时频率会出现误差,并造成时频谱分辨率降低.为了改善其对于该类信号的时频分析效果,我们利用时间和频率的二阶偏导数对瞬时频率计算式进行修正,提出二阶同步挤压S变换.合成信号处理结果表明,二阶同步挤压S变换的分辨率不但明显高于常用时频变换,在信号瞬时频率随时间呈二次或正弦变化的情况下,其时频挤压效果也好于同步挤压S变换.我们将二阶同步挤压S变换应用到天然气地震勘探资料的谱分解当中,结果表明,二阶同步挤压S变换可以很好地检测到与天然气相关的谱异常.因此,二阶同步挤压变换对于地震解释是一种很有潜力的方法. The Synchrosqueezing S-transform (SSST) is a novel approach for time-frequency(T-F) representation of non-stationary signals. By "squeezing" T-F spectrum of the S-transform (ST) of a signal, the SSST can obtain a high-resolution T-F spectrum. However, when the phase of a signal varies non-linearly with time, the instantaneous frequency (IF) of the signal calculated by the SSST would be inaccurate, causing reduction of the resolution of the T-F spectrum. In order to improve its performance in imaging such signals, we modify the formula of IF with the help of the second-order partial derivatives of time and frequency, and propose a second-order Synchrosqueezing S- transform (SSST2nd). Synthetic examples show that the SSST2nd not only has obviously higher resolution than commonly used T-F transforms, but also images the signals of which the IFs vary quadratically or sinusoidally with time better than the SSST. We apply the SSST2nd tO perform spectral decomposition of seismic data for natural gas exploration. The results illustrate that the SSSTe.d can be used to well detect frequency spectral anomalies correlated with natural gas accumulations. Therefore, it can be concluded that the SSST^a is a good potential technique for smsmm lnterpretauo.
出处 《地球物理学报》 SCIE EI CAS CSCD 北大核心 2017年第7期2833-2844,共12页 Chinese Journal of Geophysics
基金 国家自然科学基金项目(41230318 41074077) 中央高校基本科研业务费专项(201413004 201564006) 高等学校博士学科点专项科研基金(20130132110023) 山东省自然科学基金(ZR2014DP001)联合资助
关键词 时频变换 二阶同步挤压S变换 频谱异常 地震资料 谱分解 Time-frequency transform spectral anomaly Seismic Second-order Synchrosqueezing S-transform Frequency data Spectral decomposition
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  • 1刘劲松,王赟,姚振兴.微地震信号到时自动拾取方法[J].地球物理学报,2013,56(5):1660-1666. 被引量:55
  • 2高静怀,满蔚仕,陈树民.广义S变换域有色噪声与信号识别方法[J].地球物理学报,2004,47(5):869-875. 被引量:66
  • 3张军华,吕宁,田连玉,陆文志,钟磊.地震资料去噪方法技术综合评述[J].地球物理学进展,2006,21(2):546-553. 被引量:153
  • 4赵淑红,朱光明.S变换时频滤波去噪方法[J].石油地球物理勘探,2007,42(4):402-406. 被引量:52
  • 5Calbraith J N, Wiggins R A. Characteristic of opti- mum multi-channel stacking filters. Geophysics, 1968,33(1) :36-48. 被引量:1
  • 6Daubechies I, Lu J, Wu H T. Synchrosqueezed wavelet transforms: an empirical mode decomposi- tion-like tool. Applied and Computational Harmonic Analysis, 2011, 30(2) 243-261. 被引量:1
  • 7Wu H. Instantaneous frequency and wave shape func- tions. Applied and Computational Harmonic Analy- sis, 2013, 35(2): 181-199. 被引量:1
  • 8Li C, Liang M. Time-frequency signal analysis for gearbox fault diagnosis using a generalized syn- chrosqueezing transform. Mechanical Systems and Signal Processing, 2012, 26(1).- 205-217. 被引量:1
  • 9Thakur G, Brevdo E, Fuckar N S et al. The syn- chrosqueezing algorithm for time-varying spectral a- nalysis: robustness properties and new paleoclimate applications. Signal Processing, 2013, 93(5) : 1079- 1094. 被引量:1
  • 10Wang P, Gao J, Wang Z. Time-frequency analysis of seismic data using synchrosqueezing transform. IEEE Geoscience and Remote Sensing Letters, 2014, 11 (12) .. 2042-2044. 被引量:1

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