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Nonlinear inversion of electrode-type resistivity measurements

机译:电极型电阻率测量的非线性反演

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Deals with the inversion of low-frequency electrode-type resistivity measurements for the conductivity distribution in a two-dimensional axisymmetric medium. It is well known that the inversion of such transverse magnetic measurements is much more nonlinear than that of transverse electric measurements. The distorted Born iterative method (DBIM) is applied to solve the nonlinear inverse problem. In each iteration of the DBIM, an efficient numerical mode-matching (NMM) method is used as a forward solver. In addition to its efficiency in solving for the predicted data, the NMM method gives a semianalytic expression for the partial derivatives of the Green's function required in the inversion. Several numerical results are presented to demonstrate the applications of the DBIM, and to address several practical issues related to the performance of the nonlinear inversion scheme. Because of the fast forward modeling and semianalytic Green's function available due to the NMM method, the inversion is fast and is practical for the interpretation of measurement data.
机译:处理二维轴对称介质中电导率分布的低频电极型电阻率测量结果。众所周知,这种横向磁测量的反演比横向电测量的反演要非线性得多。变形的Born迭代法(DBIM)被用于解决非线性逆问题。在DBIM的每次迭代中,有效的数值模式匹配(NMM)方法都用作前向求解器。除了求解预测数据的效率外,NMM方法还提供了反演中所需格林函数的偏导数的半解析表达式。提出了几个数值结果,以说明DBIM的应用,并解决与非线性反演方案的性能相关的几个实际问题。由于NMM方法具有快速前向建模和可用的半解析格林函数,因此反演速度很快,对于解释测量数据非常实用。

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