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Two-dimensional joint inversions of cross-hole resistivity data and resolution analysis of combined arrays

机译:井间电阻率数据的二维联合反演和组合阵列的分辨率分析

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摘要

In this study, a new two-dimensional inversion algorithm was developed for the inversion of cross-hole direct current resistivity measurements. In the last decades, various array optimisation methods were suggested for resistivity tomography. However, researchers have still collected data by using classical electrode arrays in most cross-hole applications. Therefore, we investigated the accuracy of both the individual and the joint inversion of the classical cross-hole arrays by using both synthetic and field data with the developed algorithm. We showed that the joint inversion of bipole-bipole, pole-bipole, bipole-pole, and pole-tripole electrode arrays gives inverse solutions that are closer to the real model than the individual inversions of the electrode array datasets for the synthetic data inversion. The model resolution matrix of the suggested arrays was used to analyse the inversion results. This model resolution analysis also showed the advantage of the joint inversion of bipole-bipole, pole-bipole, bipole-pole, and pole-tripole arrays. We also used sensitivity sections from each of the arrays and their superpositions to explain why joint inversion gives better resolution than the any individual inversion result.
机译:在这项研究中,开发了一种新的二维反演算法,用于对跨孔直流电阻率测量结果进行反演。在最近的几十年中,提出了用于电阻率层析成像的各种阵列优化方法。但是,研究人员仍在大多数交叉孔应用中使用经典电极阵列来收集数据。因此,我们使用合成数据和现场数据以及开发的算法研究了经典横孔阵列的个体和联合反演的准确性。我们证明了双极-双极,极-双极,双极-极和极-三极电极阵列的联合反演提供的反解比用于合成数据反演的电极阵列数据集的单个反演更接近真实模型。建议阵列的模型分辨率矩阵用于分析反演结果。该模型分辨率分析还显示了双极-双极,极-双极,双极-极和极-三极阵列的联合反演的优势。我们还使用了每个阵列的灵敏度部分及其叠加来解释为什么联合反演比任何单独的反演结果都能提供更好的分辨率。

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