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首页> 外文期刊>Journal of Information & Optimization Sciences >IRCG inversion of buried electrode resistivity data from an electrically conducting layered medium
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IRCG inversion of buried electrode resistivity data from an electrically conducting layered medium

机译:来自导电层状介质的埋藏电极电阻率数据的IRCG反演

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摘要

Electric potential resulting from the injection of direct current into the ground can be used to explore the earth's structure. We propose to use an iteratively regularized inversion algorithm for the interpretation of buried electrode resistivity data gathered from a horizontally stratified layered earth. Two types of ground structures are used to investigate the electrical conductivity profiles. An iterative regularization scheme using the nonlinear conjugate gradient technique is applied to estimate the model parameters of conductivity variation. A suitable value of the regularization parameter is determined by using the well known L-curve criterion. The final inverted models obtained are in excellent qualitative agreement with the true models when using synthetic data. A comparison of inversion results obtained from our scheme and the Levenberg-Marquardt method on test data sets clearly demonstrates an edge over the other stated scheme as far as the robustness is concerned.
机译:直流电注入地面产生的电势可用于探索地球的结构。我们建议使用迭代正则化反演算法来解释从水平分层的层状土收集的埋藏电极电阻率数据。两种类型的接地结构用于研究电导率曲线。应用非线性共轭梯度技术的迭代正则化方案来估计电导率变化的模型参数。通过使用众所周知的L曲线准则来确定正则化参数的合适值。使用合成数据时,获得的最终反演模型与真实模型具有极好的定性一致性。从我们的方案和Levenberg-Marquardt方法在测试数据集上获得的反演结果的比较清楚地表明,就鲁棒性而言,它比其他陈述的方案更具优势。

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