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Iterative reconstructions of electrical conductivity from multiexperiment low-frequency electromagnetic data

机译:基于多实验低频电磁数据的电导率迭代重建

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摘要

We discuss the extensions of the contrast source inversion (CSI) method to incorporate multiexperiment data. The simplest way to use the multiexperiment data is by using the frequency-hopping method. In this method, we first solve the inverse problem for a particular experiment and then use the results as the initial estimates for the inversion of the next experiment. In this paper, we have first modified the CSI method so that the results of the inversion from one experiment can be used as input for the inversion of the next experiment, where we only have to invert the differences in material properties and fields. A more sophisticated way to incorporate the multiexperiment data is to invert all available data sets simultaneously. To that end, we introduce two cost functionals. The first is the traditional cost functional where the cost functional of each experiment is added and weighted. The second is the multiplicative cost functional, where instead of adding the cost functional of each experiment we take the product of the cost functional of each experiment. The main advantage of the last cost functional is that the weights of different experiments are determined by the iterative process itself. We consider both the inversion from multifrequency induction-logging data and the joint inversion from induction- and electrode-logging data in three-dimensional cross-well and single-well configurations.
机译:我们讨论了对比度源反演(CSI)方法的扩展,以合并多实验数据。使用多实验数据的最简单方法是使用跳频方法。在这种方法中,我们首先解决特定实验的逆问题,然后将结果用作下一个实验的反演的初始估计。在本文中,我们首先修改了CSI方法,以便将一个实验的反演结果用作下一个实验的反演输入,而在此我们仅需反转材料特性和场的差异即可。合并多实验数据的一种更复杂的方法是同时反转所有可用数据集。为此,我们介绍了两个成本函数。第一个是传统的成本函数,其中将每个实验的成本函数相加并加权。第二个是乘性成本函数,这里我们不添加每个实验的成本函数,而是取每个实验的成本函数的乘积。最后一个成本函数的主要优点是,不同实验的权重由迭代过程本身确定。我们考虑了三维横井和单井构造中多频感应测井数据的反演以及感应和电极测井数据的联合反演。

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