主能量脉冲反褶积
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摘要
本文提出的主能量脉冲反褶积方法,旨在保持原反褶积相位特性的同时将有效频带拓宽为期望输出的主能量谱,以期获得更为可靠的地震分辨率。其首先根据地震波的有效频带范围设计出期望输出的主能量谱,然后通过主能量谱滤波获得主能量信号,并以其为输入求取初始的反褶积因子,再在保持初始反褶积因子相位特性的前提下以主能量谱为期望的振幅谱,求取1个优化的反褶积因子,最后即可通过褶积运算获得期望输出的地震信号。
The main energy spiking deconvolution approach is presented in this thesis.The method can maintain the frequency phase characteristics of the original deconvolution and expand the frequency bandwidth within the effective range to a desired so-called main energy spectrum.This is expected to achieve a more reliable seismic resolution.The main energy spiking deconvolution processing can be divided into the following steps.Firstly,the effective seismic bandwidth is determined by using the frequency spectrum analyzing and scanning,and a main energy spectrum is designed to be expected as the output based upon the analyzing result.Secondly,a main energy signal is obtained by using the main energy spectrum filtering,and an initial deconvolution operator is computed by taking the main energy signal as the input.It is then to calculate the optimum deconvolution operator series based upon the rule that the frequency phase characteristics of the initial deconvolution operator is maintained and the main energy spectrum is to be taken as a desired amplitude spectrum.Finally,the desired seismic signal is outputted by the simple convolution operation.
The main energy spiking deconvolution approach is presented in this thesis.The method can maintain the frequency phase characteristics of the original deconvolution and expand the frequency bandwidth within the effective range to a desired so-called main energy spectrum.This is expected to achieve a more reliable seismic resolution.The main energy spiking deconvolution processing can be divided into the following steps.Firstly,the effective seismic bandwidth is determined by using the frequency spectrum analyzing and scanning,and a main energy spectrum is designed to be expected as the output based upon the analyzing result.Secondly,a main energy signal is obtained by using the main energy spectrum filtering,and an initial deconvolution operator is computed by taking the main energy signal as the input.It is then to calculate the optimum deconvolution operator series based upon the rule that the frequency phase characteristics of the initial deconvolution operator is maintained and the main energy spectrum is to be taken as a desired amplitude spectrum.Finally,the desired seismic signal is outputted by the simple convolution operation.
引文
[1]熊翥.复杂地区地震数据处理思路[M].北京:石油工业出版社,2002.
[2]Robinson E A.Predictive decomposition of seismic traces[J].Ge-ophysics,1957,22(4):767-778.
[3]Burg J P.Maximum Entropy Spectral Analysis[C].[s.l.]:Proc.of the 37th Meeting of the Society of Exploration Geophysi-cists,1967
[4]Peacock K L,Treitel Sven.Predictive deconvolution:theory andpractice[J].Geophysics,1969,34(2):155~169
[5]Robinson J C.Computer-designed wiener filters for seismic data[J].Geophysics,1972,37(2):235-259.
[6]Wiggins R.Entropy guided deconvolution[J].Geophysics,1985,50(12):2720-2726.
[7]余日可,岳继光.子波最小相位对最小平方反褶积效果影响[J].电子测量技术,2008,31(2):15-19.
[8]徐伯勋,白旭滨,于常青.信号处理及应用[M].北京:地质出版社,1997,35-124.
[2]Robinson E A.Predictive decomposition of seismic traces[J].Ge-ophysics,1957,22(4):767-778.
[3]Burg J P.Maximum Entropy Spectral Analysis[C].[s.l.]:Proc.of the 37th Meeting of the Society of Exploration Geophysi-cists,1967
[4]Peacock K L,Treitel Sven.Predictive deconvolution:theory andpractice[J].Geophysics,1969,34(2):155~169
[5]Robinson J C.Computer-designed wiener filters for seismic data[J].Geophysics,1972,37(2):235-259.
[6]Wiggins R.Entropy guided deconvolution[J].Geophysics,1985,50(12):2720-2726.
[7]余日可,岳继光.子波最小相位对最小平方反褶积效果影响[J].电子测量技术,2008,31(2):15-19.
[8]徐伯勋,白旭滨,于常青.信号处理及应用[M].北京:地质出版社,1997,35-124.
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