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基于同步挤压变换的水合物储层地震信号时频分析 被引量:8

A SYNCHROSQUEEZING TRANSFORM BASED TIME-FREQUENCY ANALYSIS ON SEISMIC SIGNALS OF HYDRATE RESERVOIRS
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摘要 同步挤压变换是一种新的时频分析方法,通过对信号进行小波变换,并重排(挤压)所得到的小波系数谱,得到比小波变换等常用时频变换更高的时频分辨率。使用同步挤压变换对含水合物储集层的合成地震数据以及南海神狐海域的实测地震资料进行了处理,并与小波变换结果进行了对比。结果表明,同步挤压变换对地震数据的处理结果具有更高的时频分辨率,能够反映地震信号频率的精细变化,用于识别和圈定水合物储层。 The Synchrosqueezing Transform(SST)is a new time-frequency analysis method.SST can obtain the time-frequency(t-f)resolution better than common time-frequency transforms such as wavelet transform and so on,by performing wavelet transform on the signal and reassigning(squeezing)the corresponding coefficient spectrum.In this paper,both continuous wavelet transform(CWT)and SST are applied to process the synthetic seismic data from a model containing hydrate reservoirs and a real seismic data collected from the Shenhu area of the South China Sea.The test results show that SST is able to provide seismic profiles with higher t-f resolution than CWT,which can reflect more detailed change in frequency of seismic signal and help us identify and delineate hydrate reservoirs more precisely.
出处 《海洋地质前沿》 2015年第6期23-29,共7页 Marine Geology Frontiers
基金 中国地质调查局国家海洋地质专项(GZH201100308) 国家自然科学基金(41074077 41230318)
关键词 同步挤压变换 时频分析 地震信号 水合物储层 synchrosqueezing transform time-frequency analysis seismic signal hydrate reservoir
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  • 1Partyka G, Gridley J, Lopez J, Interpretational applica- tions of spectral decomposition in reservoir characterization [J]. The Leading Edge, 1999, 18: 353-360.
  • 2Geletti R, Busetti M. A double bottom simulating reflector in the western Ross Sea, Antaretica[J]. Journal of Geo- physical Research, 2011, 116(B4): 1 15.
  • 3Dauhechies I, Lu J, Wu H T. Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool[J]. Applied and Computational Harmonic Analysis, 2011, 30 (2) : 243-261.
  • 4Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and Hilbert spectrum for nonlinear and non- stationary time series analysisC// Proceedings of the Royal Society of London, Series A, 1998, 454(1971):903-993.
  • 5Thakur G, Brevdo E, Fuckar N S, et al. The Syn chrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications -J. Signal Process, 2013, 93(5): 1 079-1 094.
  • 6崔锦泰.小波分析导论[M].西安:西安交通大学出版社,1995..
  • 7陆基盂.王永刚.地震勘探原理[M].东营:石油大学出版社,2011.
  • 8Castagna J P, Sun S J, Siegfried R W. Instantaneous spec- tral analysis: Detection of low-frequency shadows associat- ed with hydrocarbons[J]. The Leading Edge, 2003, 22 (2) : 120-127.
  • 9Tomasini J, Ana H S, Conti B, et al. Assessment of Ma- rine Gas Hydrates and Associated Free Gas Distribution Of/shore Uruguay[J]. Journal of Geological Researeh, 2011(326250): 1-7.

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