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传统的基于波动方程的多次波处理流程分为预测多次波模型和自适应匹配相减两步,但是在多次波能量和有效波能量交叉时难以取得很好的效果.本文引入数学形态学滤波的方法解决这个问题.在获取了较高精度的多次波预测模型后,通过取极值法和相关法获取多次波同向轴形态,并用数学形态学滤波方法在原始地震数据上提取并分离多次波.数学形态学滤波是一种非线性滤波方法,其计算在时域内完成,具有较快的运算速度和良好的并行性.同其他滤波方法相比,在多次波同向轴和有效波同向轴相交时,可以取得较好效果.本文介绍了形态学滤波的基本原理,并通过简单模型、Pluto数据和实际数据的测试,验证了方法的有效性.
The traditional multipulse processing based on wave equation is divided into two steps: prediction multiples model and adaptive matching subtraction, but it is hard to get good results when multiples energy and effective wave energy cross.This paper introduces mathematical morphology The method of filtering is used to solve this problem.After obtaining the multi-prediction model of higher accuracy, the morphology of multiple coaxial is obtained by taking the extremum method and the correlation method, and the mathematical morphology filtering method is applied to the original seismic data Extraction and separation of multiple waves.Mathematical morphology filtering is a nonlinear filtering method, the calculation is completed in the time domain, with faster computing speed and good parallelism.Compared with other filtering methods, The effect of this method is better when the axis and the effective wave intersect with the same axis.The paper introduces the basic principle of morphological filtering and verifies the effectiveness of the method by testing the simple model, Pluto data and real data.