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Study of the Prestack Elastic Parameter Inversion Based on Immune Genetic Algorithm

机译:基于免疫遗传算法的叠前弹性参数反演研究

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In order to efficiently invert seismic ampLitudes for elastic parameters, the Zoeppritz equations are simpLified with only four independent elastic property contrasts across the interface. A novel immune genetic algorithm (IGA) is presented for geophysical P-wave ampLitude variation with offset (AVO) inversion. The details of an IGA approach are described and implemented. The eLitism method increases the probabiLity of finding the global optimum. The mechanism of antibody suppression and the adaptive probabiLities of crossover and mutation adoption greatly improve the effectiveness of IGA. Applying the IGA to typical earth interface models for P-wave AVO inversion, four rock property contrasts are better extracted. The precision of the inverted P-wave velocity and bulk density contrast is high.
机译:为了有效地反演弹性参数的地震振幅,仅在界面上使用四个独立的弹性特性对比来简化Zoeppritz方程。提出了一种新颖的免疫遗传算法(IGA),用于地球物理P波幅值随偏移(AVO)反演。描述并实施了IGA方法的细节。 eLitism方法增加了找到全局最优值的可能性。抗体抑制的机制以及交叉和突变采用的自适应概率大大提高了IGA的有效性。将IGA应用于典型的P波AVO反演的地球界面模型,可以更好地提取出四种岩石特性的对比。倒P波速度和堆积密度对比的精度很高。

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