基于三参数小波的频谱分解方法

朱振宇1 高佳伦2 姜秀娣1 孙文博1 薛东川1 王清振1

(1.中海油研究总院有限责任公司, 北京 100028)
(2.中国石油大学 (北京) , 北京 102200)
【知识点链接】盖层

【摘要】首先阐述了频谱分解方法的基本原理, 然后介绍了三参数小波, 重点研究了每个参数对小波的影响, 随后设计了正演模型, 利用三参数小波进行时频分析;最后利用基于三参数小波的频谱分解方法预测储层, 发现三参数小波能更好地显示细微的地质信息。模型测试及实际地震资料应用表明:①三参数小波的灵活性高, 小波的调制频率σ影响小波的震荡程度。能量衰减因子τ影响小波的宽窄, 当τ较大时, σ对小波的影响减弱。能量延迟因子β的影响颇为复杂, 当其为周期的整数倍时, 小波只产生时移, 可以匹配零相位子波;当其为周期的非整数倍时, 小波不仅产生时移, 而且产生相位延迟, 可以匹配非零相位子波。同时需要注意, β非零会造成河道埋深解释错误。②三参数小波变换较Morlet小波变换具有较好的时频分辨率, 能更好地刻画薄互层内细微的地质沉积结构。③实际处理中可将从目的层段提取的地震子波与三参数小波做相关, 优选相关性大的参数组合, 从而获得最佳的三参数小波。

【关键词】 频谱分解; 三参数小波; 小波变换; 时频分析; 储层预测;

【DOI】

【基金资助】 国家重点研发计划课题“南海多类型天然气水合物成藏地质过程与富集规律 (2017YFC0307301) ” 中海石油 (中国) 有限公司科技项目“珠江口盆地时移地震技术应用先导研究” (YXKY-2017-ZY-14) 联合资助

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    References

    [1] Widess M B.How thin is a thin bed?.Geophysics, 1973, 38 (6) :1176-1180.

    [2] Neidell N S, Poggiagliolmi E.Seismic Stratigraphy-Applications to Hydrocarbon Exploration:AAPG Special Volumes, 1977:389-416.

    [3] Partyka G.Interpretational applications of spectral decomposition in reservoir characterization.The Leading Edge, 1999, 18 (3) :173-184.

    [4]Liu Feng, Mou Zhonghai, Jiang Yuqiang et al.Seismic identification of small fault.Progress in Geophysics, 2011, 26 (6) :2210-2215.

    [5]Li Wei, Yue Dali, Hu Guangyi et al.Frequency-segmented seismic attribute optimization and sandbody distribution prediction:An example in North Block, Qinghuangdao 32-6 Oilfield.OGP, 2017, 52 (1) :121-130.

    [6]Yu Hao, Li Jinsong, Zhang Yan et al.Spectral decomposition in fault and reservoir identifications.OGP, 2013, 48 (6) :954-959.

    [7]Zhu Zhenyu, Lü Dingyou, Sang Shuyun et al.Research of spectrum decomposition method based on physical wavelet transform and its application.Chinese Journal of Geophysics, 2009, 52 (8) :2152-2157.

    [8]Li Bin, Yue Youxi, Wen Mingming.Reservoir predication based on synchrosqueezing wavelet transform.Natural Gas Geoscience, 2017, 28 (2) :341-348.

    [9]Liu Shunlan, Qian Huisheng, Xu Pingyuan.Application of the Morlet wavelet transform to detection of transient signals.Journal of Hangzhou Institute of Electronic Engineering, 1999, 19 (3) :29-36.

    [10] Harrop J D, Taraskin S N, Elliott S R.Instantaneous frequency and amplitude identification using wavelets:application to glass structure.Statistical Nonlinear & Soft Matter Physics, 2002, doi:10.1103/PhysRevE.66.026703.

    [11]Gao Jinghuai, Wan Tao, Chen Wenchao et al.Three parameter wavelet and its application in seismic data analysis.Chinese Journal of Geophysics, 2006, 49 (6) :1802-1812.

    [12]Feng Bin, Zhao Fenghua, Wang Shuhua.Application of spectral decomposition technique in fluvial sand body prediction.Advances in Earth Science, 2012, 27 (5) :510-514.

    [13] Marfurt K J, Kirlin R L.Narrow-band spectral analysis and thin-bed tuning.Geophysics, 2001, 66 (4) :1274-1283.

    [14]Ma Yuehua, Wu Shuyan, Bai Yuhua et al.River sedimentary microfacies prediction based on spectral decomposition.OGP, 2015, 50 (3) :502-509.

    [15]Zhu Qiuying, Wei Guoqi, Yang Wei et al.Favorable sand body prediction based on the time-frequency analysis in Iraqi Structure.OGP, 2017, 52 (3) :538-547.

    [16]Ma Debo, Jia Jinhua, Shen Yinmin et al.Seismic pre-diction of Donghe sandstone pinch-out line in Jilake, Tarim Basin.OGP, 2017, 52 (1) :94-104.

    [17]Chen Yuhong, Yang Changchun, Cao Qifang et al.The comparison of some time-frequency analysis methods.Progress in Geophysics, 2006, 21 (4) :1180-1185.

    [18] Grossmann A, Morlet J.Decomposition of Hardy functions into square integrable wavelets of constant shape.Siam Journal on Mathematical Analysis, 1984, 15 (4) :723-736

    [19]Huang Handong, Zhang Ruwei, Guo Yingchun.Wavelet frequency-division process for seismic signals.Journal of Oil & Gas Technology, 2008, 30 (3) :87-91.

    [20]Gao Jinghuai, Wang Wenbing, Zhu Guangming et al.On the choice of wavelet functions for seismic data processing.Chinese Journal of Geophysics, 1996, 39 (3) :392-400.

    [21]Xiong Xiaojun, Wang Fei, Mi Hong et al.Frequency attenuation analysis based on time-frequency three-parameter wavelet transform.OGP, 2015, 50 (4) :699-705.

    [22]Jiang Xiudi, Weng Bin, Liu Yaru et al.Application of spectral decomposition RGB plotting technique for spectral components in high accuracy seismic interpretation.Progress in Geophysics, 2013, 28 (2) :882-888.

This Article

ISSN:1000-7210

CN: 13-1095/TE

Vol 53, No. 06, Pages 1299-1306+1116

December 2018

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Article Outline

知识点

摘要

  • 1 引言
  • 2 频谱分解方法
  • 3 三参数小波变换
  • 4 模型测试及实际地震资料应用
  • 5 结论
  • 参考文献