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蓝色滤波及其应用
引用本文:赵波,俞寿朋,贺振华,黄德济.蓝色滤波及其应用[J].矿物岩石,1998(Z1).
作者姓名:赵波  俞寿朋  贺振华  黄德济
作者单位:成都理工学院信物系,国土资源部物探研究院
摘    要:反褶积是通过压缩地震子波以提高地震数据纵向(时间)分辨率的过程。地震数据可以用褶积模型来表示,即地层反射脉冲与地震子波的褶积。而地震脉冲(反射系数)包含了石油勘探和地震研究中必不可少的有关大地地球物理性质的信息,因此,从地震数据中得到反射系数就变得非常有意义。蓝色滤波通过对反射系数有色成分的模拟,得到与反射系数有色成分有关的蓝色滤波算子。然后对经反褶积处理后的地震数据进行褶积运算,就能获得比常规反褶积方法好得多的结果。通过对合成地震记录和实际地震数据的试验,证明了本方法在高分辨率处理方面具有较好的效果。

关 键 词:蓝色滤波  反褶积  地震子波  反射系数序列

BLUE FILTER AND ITS APPLICATION
Zhao Bo,Yu Shoupeng,He Zhenhua,Huang Deji.BLUE FILTER AND ITS APPLICATION[J].Journal of Mineralogy and Petrology,1998(Z1).
Authors:Zhao Bo  Yu Shoupeng  He Zhenhua  Huang Deji
Institution:Zhao Bo 1 Yu Shoupeng 2 He Zhenhua 1 Huang Deji 1
Abstract:Deconvolution is a principal technique to compress seismic wavelet for the enhancement of vertical resolution.Seismic data can be described by a convolution model,i.e.seismic data are the convolution of a reflection coefficient series with a seismic wavelet.The impulsive response of earth is the primary information for seismic exploration.Therefore,it is important to extract reflection coefficient series from seismic data. The blue filter operator can be calculated through the simulation of coloured components of the reflection coefficient series.Convolving to seismic data processed with deconoolution,a result achieved is better than a simple deconvolution process.The synthetic tests and real data applications show the method works better in high resolution processing.
Keywords:blue filter  deconvolution  seismic wavelet  refiection coefficient  
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