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本文叙述了消除复杂多次波的预测反滤波迭代法。如果某个地区多次波的周期性较差,则用常规预测反滤波方法消除多次波的效果就很不理想。本文通过分析地震记录的自相关函数,利用“线性分解——拟合”的简易方法,对可能存在的周期性较差的不易识别的短程多次波,进行了不同预测距离的预测反滤波迭代处理,使之减弱到最低程度。通过对EM和J地区资料处理表明,本方法对压制短程多次波具有一定效果。迭代法效果的好坏,与预测反滤波参数的选择有很大关系。
This paper describes the prediction of inverse iterative filtering to eliminate complex multiples. If the periodicity of multiples in a region is poor, it is not ideal to eliminate the effects of multiples by the conventional prediction inverse filtering method. By analyzing the autocorrelation function of seismic records and using the simple method of “Linear Decomposition-Fitting”, this paper conducts the predictive inverse filtering iteration with different prediction distance for possible short-range multipaths with poor periodicity that may exist Deal with it to a minimum. The data processing in EM and J shows that this method has a certain effect on suppressing short-range multiple waves. The effect of iterative method is good or bad, and the choice of prediction inverse filter parameters have a great relationship.