混合相位子波有色反褶积
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
常规的高分辨率处理方法假设反射系数序列服从高斯白噪的统计特征。利用实际测井数据得到的反射系数进行统计分析,得出了反射系数非高斯分布且频谱偏蓝的结论,并把这一结论运用到混合相位子波提取和反褶积处理中。为避免相位卷绕和累计误差对相位估算精度的影响,在对高阶累积量混合相位子波的提取方法进行系统分析的基础上,提出了基于多路径平均双谱法的混合相位子波估算方法。实际地震数据的试处理表明:该方法能有效改善地震记录的分辨率,增强地震记录反映薄层内幕的能力。
The conventional seismic data process methods for high resolution assume that reflection coefficient series are accordant with Gaussian Gauss White Noise. Through the statistical analysis of reflection coefficients obtained from the actual logging data, it is concluded that the reflection coefficients are non-Gaussian distribution and their spectrums tend to blue, which can be applied to extract mixed phase wavelet and carry out deconvolution. Based on systematic analysis of the method of high order cumulant mixed phase wavelet extraction, and in order to avoid the influence of phase winding and accumulated error on phase estimation accuracy, the method of multi path average bispectrum was proposed. The actual seismic data processing result shows that this method can improve the resolution of seismic records effectively and enhance its ability of detecting thin layer.
引文
[1]熊翥.地层岩性油气藏勘探[J].岩性油气藏,2008,20(4):1-7.
    [2]黄绪德.反褶积与地震道反演[M].北京:石油工业出版社,1992.
    [3]Li Guofa,Xiong Jinliang.Seismic reflection characteristics of fluvial sand and shale interbeddded layers[J].Applied Geophysics,2008,5(3):219-229.
    [4]Walden A T,Hosken J W J.A investigation of the spectral properties of primary reflection coefficients[J].Geophysical Prospecting,1985,33:400-435.
    [5]Rosa A L R,Ulrych T J.Processing via spectral modeling[J].Geo-physics,1991,56(8):1244-1251.
    [6]Okaya D A.Spectral properties of the earth’s contribution to seismic resolution[J].Geophysics,1995,60(1):241-251.
    [7]赵波.谱模拟反褶积方法及其应用[J].石油地球物理勘探,1996,31(1):101-115.
    [8]Painter S,Beresford G,Paterson L.On the distribution of seismic reflection coefficients and seismic amplitudes[J].Geophysics,1995,60(4):1187-1194.
    [9]Luis T.Modeling non-Gaussian reflectivities:Generalizing Wiener-Levinson deconvolution[J].Geophysics,2001,66(6):1913-1920.
    [10]Lazear G D.Mixed-phase wavelet estimation using fourth-order cumulants[J].Geophysics,1993,58(7):1042-1051.
    [11]Marron J C,Sanchez P P,Sullivan R C.Unwrapping algorithm for least-squares phase recovery from the modulo2bispectrum phase[J].Journal of the Optical Society of America,1990,7(1):14-20.
    [12]王小卫,吕磊,刘伟方,等.塔里木盆地碳酸盐岩地震资料处理的几项关键技术[J].岩性油气藏,2008,20(4):109-112.
    [13]Saggaf M M,Robinson E A.A unified framework for the deconvolu-tion of traces of nonwhite reflectivity[J].Geophysics,2000,65(5):1660-1676.
    [14]Godfrey R,Muir F,Rocca F.Modeling seismic impedance with Makov chains[J].Geophysics,1980,45(9):1351-1372.

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心