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为了构建合理可靠的初始模型,使反演稳定快速收敛且达到更高的精度.本文提出用控制转换算法构建初始模型参数,然后使用最优分割法优化初始模型.一维MT最小二乘反演计算结果表明:该方法构建的初始模型使反演稳定快速收敛;使用相同的反演方法,该方法构建的初始模型的反演迭代次数比Bostick法构建的初始模型的反演迭代次数少20%以上,比均匀半空间作为初始模型的反演迭代次数少100%以上,并且反演精度也有了提高.该方法不但对提高MT一维反演效果有意义,而且对构建其他勘探方法的反演初始模型也具有一定的参考价值.
In order to build a reasonable and reliable initial model, the inversion stabilizes quickly and reaches a higher precision.In this paper, we propose a control transformation algorithm to construct the initial model parameters, and then use the optimal segmentation method to optimize the initial model.One-dimensional MT least squares inversion The results show that the initial model constructed by this method makes the inversion converge rapidly and steadily. Using the same inversion method, the number of inversion iterations of the initial model constructed by this method is 20% less than that of the initial model constructed by Bostick method. , Which is 100% less than the number of iterations in the homogeneous half-space as the initial model, and the inversion accuracy is also improved. This method not only makes sense for improving MT one-dimensional inversion but also performs inversion for constructing other exploration methods The initial model also has some reference value.