混合相位反褶积在地震资料处理中的应用
摘要
实际地震资料处理中的子波是混合相位,对此提出一种改进的混合相位反褶积流程。在地震道中抽取一个标准道,利用谱模拟的方法求出地震子波的自相关;利用计算子波的自相关,设计了一个最小相位的滤波器,增加一个延迟量于自相关函数主对角线上,将最小相位滤波器分解为一个长度很短的滤波器和一个长度较长滤波器的褶积,得到一系列混和相位的子波和混和相位滤波器;将这些混和相位滤波器与原始地震道进行褶积,选出最佳的混和相位滤波器。通过理论模型与实际地震资料对比,证明混和相位反褶积优于最小相位反褶积。
Mixed-phase deconvolution is proposed to process the seismic data,,with a new flowchart of the mix-phase deconvolution,based on the fact that the seismic wavelet is a mix-phase wavelet. Firstly,the amplitude spectrum of the seismic .wavelet is fitted by least squares method according to the relationship between the autocorrelation of the seismic records and the autocorrelation of the seismic wavelet,and then the autocorrelation of the seismic wavelet is computed anew. Secondly,a minimum phase filter is designed by using computed autocorrelation of the seismic wavelet,a delay is added to the dominant diagonal of the autocorrelation function,a minimum phase filter is decomposed into a short filter and is convoluted with a longer filter,resulting in a series of mixed phase wavelets and a mixed phase filter. Finally,the resulted mixed phase filter is convoluted with raw seismic traces,and an optimal mixed phase filter and an associated mixed phase wavelet are selected. The model test and the real data processing show that the mixed phase deconvolution is better than the minimum phase deconvolution.
Mixed-phase deconvolution is proposed to process the seismic data,,with a new flowchart of the mix-phase deconvolution,based on the fact that the seismic wavelet is a mix-phase wavelet. Firstly,the amplitude spectrum of the seismic .wavelet is fitted by least squares method according to the relationship between the autocorrelation of the seismic records and the autocorrelation of the seismic wavelet,and then the autocorrelation of the seismic wavelet is computed anew. Secondly,a minimum phase filter is designed by using computed autocorrelation of the seismic wavelet,a delay is added to the dominant diagonal of the autocorrelation function,a minimum phase filter is decomposed into a short filter and is convoluted with a longer filter,resulting in a series of mixed phase wavelets and a mixed phase filter. Finally,the resulted mixed phase filter is convoluted with raw seismic traces,and an optimal mixed phase filter and an associated mixed phase wavelet are selected. The model test and the real data processing show that the mixed phase deconvolution is better than the minimum phase deconvolution.
引文
[1]杨占龙,陈启林,郭精义,等.模型正演与地震资料品质分析.天然气地球科学,2005,16(5):641-646.Yang Zhanlong,Chen Qilin,Guo Jingyi,et al.Natural Gas Geoscience,2005,16(5):641-646.
[2]黄小晶.一种适用于有限长度混合相位未知脉冲的最小平方反褶积新方法[J].石油地球物理勘探,1989,24(5):497-503.Huang Xiaojing.Oil Geophysical Prospecting,1989,24(5):497-503.
[3]黄小晶.混合相位未知脉冲反褶积的一种改进方法[J].石油地球物理勘探,1990,25(1):39-44.Huang Xiaojing.Oil Geophysical Prospecting,1990,25(1):39-44.
[4]易宗富,周华兴.一种适用于混合相位未知脉冲的反褶积方法,西南石油学院学报,1994,16(1):17-22.Yi Zongfu,Zhou Huaxing.Chinese Journal of Computation Physics,1994,16(1):17-22.
[5]Porsani M J,Ursin B.Mixed-phase deconvolution[J].Geophysics,1998,63(2):637-647.
[6]赵波,俞寿朋,聂勋碧,等.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.Zhao Bo,Yu Shoupeng,Nie Xunbie,et al.Oil Geophysical Prospecting,1996,31(1):101-115.
[2]黄小晶.一种适用于有限长度混合相位未知脉冲的最小平方反褶积新方法[J].石油地球物理勘探,1989,24(5):497-503.Huang Xiaojing.Oil Geophysical Prospecting,1989,24(5):497-503.
[3]黄小晶.混合相位未知脉冲反褶积的一种改进方法[J].石油地球物理勘探,1990,25(1):39-44.Huang Xiaojing.Oil Geophysical Prospecting,1990,25(1):39-44.
[4]易宗富,周华兴.一种适用于混合相位未知脉冲的反褶积方法,西南石油学院学报,1994,16(1):17-22.Yi Zongfu,Zhou Huaxing.Chinese Journal of Computation Physics,1994,16(1):17-22.
[5]Porsani M J,Ursin B.Mixed-phase deconvolution[J].Geophysics,1998,63(2):637-647.
[6]赵波,俞寿朋,聂勋碧,等.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.Zhao Bo,Yu Shoupeng,Nie Xunbie,et al.Oil Geophysical Prospecting,1996,31(1):101-115.
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