混合相位未知脉冲反褶积的一种改进方法

An improved method for deconvolution of an unknown mixed-phase pulse,

在地震资料处理中,反褶积是用来提高分辨率的必不可少的手段。当地震资料不满足最小相位和白噪声约束条件时,常规的反褶积方法就不再适用了。目前已有许多现代的反褶积方法力图解除这些约束条件,其中一种方法就是混合相位未知脉冲的最小平方反褶积。本文提出了一种改进的反褶积方法。这是一种多次迭代方法,它把混合相位未知脉冲的最小平方反褶积和一种最小熵类型的脉冲成形技术结合在一起,用来改进有限长度混合相位未知子波的反褶积效果。文中给出了这种改进方法的原理和算法。合成数据的试验结果表明,与混合相位未知脉冲的最小平方反褶积相比,该方法能使地震子波得到更大的压缩,接近一个冲激脉冲。

Deconvolution is a necessary means of improving seismic resolution in data processing.Conventional deconvolution does not work when seis- mic data don't satisfy the constraints of minimum phase and white noise. People have many modern deconvolution methods which avoid the con- straints.One of them is least-square deconvolution of unknown mix- ed-phase pulse.An improved deconvolution method(an iterative me- thod)is outlined,which combines the least-square deconvolution of unknown mixed-phase pulse with minimum-entropy type pulse shaping technique so as to improve the deconvolution of an unknown finite- length mixed-phase pulse.Both the principle and the algorithm of this method are described here.Synthetic data tests show that,com- pared with least-square deconvolution of unknown mixed-phase pulse, this method brings very short wavelet,which is close to a shock pulse.