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本文通过概率成像法、α中心法、遗传算法的有机结合,实现了2-D 电阻率层析成像非线性反演.首先,根据概率成像结果指示出的2-D 地质异常体的相对电性和大致分布范围,合理地确定出α中心的位置与强度系数的变化范围.其次,以α中心法作为2-D地电结构的正演手段,采用遗传算法反演出各α中心的强度系数.在此基础上,应用α中心法重新构建出地下介质电阻率的分布.通过对均匀半空间中赋存2-D 地质异常体模型的反演试验,获得了令人满意的结果.
In this paper, the non-linear inversion of 2-D resistivity tomography is realized by the combination of probability imaging method, α-center method and genetic algorithm.Firstly, according to the relative electrical properties of 2-D geologic anomaly indicated by the probabilistic imaging results, And the general distribution range, the range of variation of α-center position and intensity coefficient is reasonably determined.Secondly, the α-center method is used as the forward modeling method of 2-D geoelectric structure, and the intensity coefficient of each α-center is obtained by genetic algorithm. Based on this, the distribution of the resistivity of the subterranean medium was reconstructed by the α-center method, and the satisfactory results were obtained by the inversion experiment of the 2-D geological anomaly body model in a homogeneous half-space.