基于Wigner双谱对角切片的谱分解技术在油气检测中的应用
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摘要
谱分解技术作为一种解释性处理技术得到了地质、地球物理工作者的广泛关注,如何有效地利用其分频显示功能进行油气检测也成为人们关注的一个焦点。利用Wigner高阶谱具有高时频聚集性的特点,提出了一种基于改进核函数的Wigner双谱对角切片的谱分解技术。即在分析指数型核函数与锥形核函数优缺点的基础上,给出了改进的新核函数,进而采用模糊域核函数滤波法抑制Wigner双谱对角切片的交叉项,并解决了Wigner双谱对角切片的模糊函数中心点校正问题。通过对新的核函数交叉项抑制能力的数值模拟,验证新的核函数对时延轴上的交叉项也能抑制。最后对实际地震数据进行了分频处理,在20Hz低频剖面内的油气有利区表现为强能量显示,与井的钻遇结果一致。
Spectral decomposition technique as an interpretative processing technology has been paid extensive attention by many geological and geophysical researchers.The effectively frequency division display function of seismic signals for oil gas detection has also become a focus point.The authors propose a spectrum decomposition technique of Wigner bispectrum diagonal slice with an improved kernel function based on high time-frequency resolution of the Wigner higher order spectrum.According to the advantages and disadvantages of the exponential and the cone-shaped kernel functions,the new improved kernel function is given.Then the kernel function filtering method in fuzzy fields is used to suppress the cross-terms of Wigner bispectrum diagonal slice and the center point of the ambiguity function in Wigner bispectrum diagonal slice is corrected.The numerical simulation shows that the new function can suppress the cross-terms of time-delay axis.Finally,the effectiveness of new technique is verified by indicating the presence of oil and gas area in 20 Hz profile,and in accord with well.
引文
[1]徐丽英,徐鸣洁,陈振岩.利用谱分解技术进行薄储层预测[J].石油地球物理勘探,2006,41(3):299-302.Xu Liying,Xu Mingjie,Chen Zhenyan.Using Spec-trum Decomposition Technique for Prediction of ThinReservoir[J].Oil Geophysical Prospecting,2006,41(3):299-302.
    [2]张进铎,杨平,王云雷.地震信息的谱分解技术及其应用[J].勘探地球物理进展,2006,29(4):235-238.Zhang Jinduo,Yang Ping,Wang Yunlei.Spectral De-composition of Seismic Data and Its Application in Oiland Gas Exploration[J].Progress in Exploration Geo-physics,2006,29(4):235-238.
    [3]Marfurt K J,Kirlin R L.Narrow-Band Spectral Ana-lysis and Thin-Bed Tuning[J].Geophysics,2001,66(4):1274-1283.
    [4]Sinha S,Routh P S,Anno P D,et al.Spectral Decom-position of Seismic Data with Continuous-WaveletTransforms[J].Geophysics,2005,70(6):19-25.
    [5]房文静,范宜仁,李霞,等.基于测井数据小波变换的准层序自动划分[J].吉林大学学报:地球科学版,2007,37(4):834-836.Fang Wenjing,Fan Yiren,Li Xia,et al.ParasequenceAutomatical Partition Based on Wavelet Transform ofLogging Data[J].Journal of Jilin University:EarthScience Edition,2007,37(4):834-836.
    [6]马志霞,孙赞东.Gabor-Morlet小波变换分频技术及其在碳酸岩储层预测中的应用[J].石油物探,2010,49(1):42-45.Ma Zhixia,Sun Zandong.Spectral DecompositionTechnique Based on Gabor-Morlet Wavelet Transformand Its Application to Carbonate Reservoir Prediction[J].Geophysical Prospecting for Petroleum,2010,49(1):42-45.
    [7]杨海涛,朱仕军,文中平,等.基于S-变换的谱分解效果分析[J].石油天然气学报,2009,31(5):267-270.Yang Haitao,Zhu Shijun,Wen Zhongping,et al.Effect Analysis of Spectral Decomposition Based on STransform[J].Journal of Oil and Gas Technology,2009,31(5):267-270.
    [8]陈学华,贺振华,黄德济.基于广义S变换的地震资料高效时频谱分解[J].石油地球物理勘探,2008,43(5):530-534.Chen Xuehua,He Zhenhua,Huang Deji.High-Effi-cient Time-Frequency Spectrum Decomposition of Seis-mic Data Based on Generalized S Transform[J].OilGeophysical Prospecting,2008,43(5):530-534.
    [9]陈学华,贺振华,文晓涛,等.基于广义S变换的裂缝分频边缘检测方法[J].吉林大学学报:地球科学版,2011,41(5):1605-1609.Chen Xuehua,He Zhenhua,Wen Xiaotao,et al.Frac-ture Multi-Frequency Edge Detection Based General-ized S Transform[J].Journal of Jilin University:EarthScience Edition,2011,41(5):1605-1609.
    [10]王宝江,王大兴,于波,等.利用广义S变换技术预测砂岩储层[J].石油地球物理勘探,2006,41(4):423-426.Wang Baojiang,Wang Daxing,Yu Bo,et al.UsingGeneralized S Transform Technique to Predict Sand-stone Reservoir[J].Oil Geophysical Prospecting,2006,41(4):423-426.
    [11]冯磊,姜在兴.基于匹配追踪的谱分解方法及其应用[J].勘探地球物理进展,2009,32(1):33-36.Feng Lei,Jiang Zaixing.Spectral DecompositionBased on Matching Pursuit and Its Application[J].Progress in Exploration Geophysics,2009,32(1):33-36.
    [12]吴小羊,刘天佑.基于时频重排的地震信号Wigner-Ville分布时频分析[J].石油地球物理勘探,2009,44(2):201-205.Wu Xiaoyang,Liu Tianyou.Time-Frequency Analy-sis on Wigner-Ville Distribution of Seismic SignalBased on Time-Frequency Rearrangement[J].Oil Ge-ophysical Prospecting,2009,44(2):201-205.
    [13]杨海涛,朱仕军,文中平.基于Wigner-Ville的谱分解效果分析[J].勘探地球物理进展,2009,32(1):37-39.Yang Haitao,Zhu Shijun,Wen Zhongping,et al.Effect Analysis of Spectral Decomposition Based onWigner-Ville Distribution[J].Progress in Explora-tion Geophysics,2009,32(1):37-39.
    [14]李耀东,冯涛,袁超伟.基于自项窗的WVD交叉项抑制技术[J].无线电通信技术,2010,36(4):39-42.Li Yaodong,Feng Tao,Yuan Chaowei.Auto-TermWindow Method for Cross-Term Reduction ofWigner-Ville Distribution[J].Radio CommunicationsTechnology,2010,36(4):39-42.
    [15]张贤达.时间序列分析-高阶统计量方法[M].北京:清华大学出版社,1996.Zhang Xianda.Time Sequence Analysis[M].Beijing:Tsinghua University Press,1996.
    [16]张贤达.现代信号处理[M].2版.北京:清华大学出版社,2002.Zhang Xianda.Model Signal Processing[M].2nd ed.Beijing:Tsinghua University Press,2002.
    [17]Tugnait J K.On Time Delay Estimation with Un-known Spatially Correlated Gaussian Noise UsingFourth-Ordercumulants and Cross Cumulants[J].IEEE Trans Signal Processing,1991,39(6):1259-1267.
    [18]Mendel J M.Tutorial on Higher-Order Statistics In-signal Orocessing and System Theory[J].TheoreticalResults and Some Applications Proc IEEE,1991,79(3):278-305.
    [19]Nikias L C,Mendel M J.Signal Processing withHigher-Order Spectra[J].IEEE Trans Signal Pro-cessing,1993,10(3):10-37.
    [20]Gerr N L.Introducing a Third-Order Wigner Distri-bution[J].Proc IEEE,1988,3:290-292.
    [21]Lee S K,White P R.Higer-Order Time-FpequecncyAnalysis and Its Application to Fault Detection in Ro-tating Machinery[J].Mechanical Systems and SignalProcessing,1997,11(4):637-650.
    [22]刘波.MATLAB信号处理[M].北京:电子工业出版社,2006:330.Liu Bo.MATLAB Signal Processing[M].Beijing:Publishing House of Electronics Industry,2006:330.
    [23]王军,李亚安.多分量信号时频分析交叉项抑制研究[J].探测与控制学报,2004,26(4):13-17.Wang Jun,Li Yaan.The Research of Cross-Compo-nent Suppression of Multi-Component Signals UsingTime Frequency Analysis[J].Journal of Detection&Control,2004,26(4):13-17.
    [24]秦太龙,程珩,薛松.抑制Wigner-Ville分布交叉项方法的比较[J].太原理工大学学报,2008,36(9):548-550.Qin Tailong,Cheng Heng,Xue Song.The Compari-son of Methods That Inhibit Wigner-Ville Distribu-tion’s Cross-Term[J].Journal of Taiyuan Universityof Technology,2008,36(9):548-550.
    [25]Zhao Yunxin,Atlas E L,Marks J R.The Use ofCone-Shaped Kernels for Generalized Time-FrequencyDistributions of Nonstationary Signals[J].IEEETransaction on Acoustics,Speech,and Signal Pro-cessing,1990,38(7):1084-1091.

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