【摘要】 针对高阶统计量混合相位地震子波提取方法的局限性,提出一种基于矢量预测的单输入多输出系统(SIMO)的混合相位地震子波提取方法.该方法利用二阶循环平稳统计量包含的系统相位信息,将CMP道集视为一个单输入多输出系统的输出,利用道集中相邻两道或多道数据通过矢量预测来构建反子波计算的方程式,进一步进行混合相位子波提取.利用提取出的子波相位信息对CMP道集进行纯相位滤波,能够替代相位校正技术,并且利用获取的反褶积算子对CMP道集进行反褶积处理,使提高分辨率后的不同道子波振幅、频率、波形相一致,提高叠加的质量.模型试算和实际资料处理结果表明,文中方法适用于任意相位的子波提取及反褶积处理,且处理精度较高,具有较高的实际应用价值.更多还原

【Abstract】 Given the limitation of the mixed-phase wavelet extraction based on high order statistics,a new method of mixed-phase wavelet estimation of SIMO (Single Input Multiple Output) system based on vector prediction is presented.For the extraction of mixed-phase wavelet,this method uses the data from the adjacent two or more traces to construct the expression of inverse-wavelet by applying the vector prediction.In this process,the information of phase in the system is obtained by the second order cycle stationary statistics and CMP gather will be viewed as the output of SIMO system.Utilizing the extracted phase information,the CMP gather is processed by means of pure-phase filtering,which can substitute for the traditional phase correction processing.And the deconvolution is performed on the CMP gather with the deconvoing operator obtained from the above step,thus the quality of stack section can be improved by correcting the wavelets with respect to the different traces,making the amplitudes,frequencies and waveforms of these wavelets in different traces consistent.Finally,the method in this paper is appropriate for wavelet extraction and deconvolution with arbitrary phase.This is confirmed by model calculation and real data test.So this method has the potential of practical application.更多还原