Abstract. Analysis of non-uniqueness model in resistivity imaging data is vital in inaugurating the consistency of models. Nevertheless, such analysis is moderately unusual in resistivity imaging data set. Electrical resistivity tomography (ERT) technique is being constantly used in many scientific areas including engineering, environmental and archaeological survey. Primarily, the inversion algorithm techniques are employed on synthetic model data set with and without some random Gaussian noise, and its validity is tested by filed data set. The study was conducted in the premises of Central Institute of Mining and Fuel Research (CIMFR), Dhanbad by laying an ERT profile of 480 m length with 5 m electrode spacing using Syscal Pro (Iris instrument) resistivity meter. Two standard arrays were used in this study namely Wenner-Schlumberger and dipole-dipole array. The data set was mixed to a single array to achieve better resolution and enhanced clarification. On processing data by Prosys-II software, it was exported in Res2Dinv software for inversion. In this context, data was inverted by different algorithm techniques i.e. least square (L₂-norm) and robust inversion (L₁-norm). Exemplary results related to the heterogeneity of the resistivity structure within the high and low resistivity anomaly were obtained by robust inversion method. The obtained results are in broad agreement with the simulation model.

中文翻译：

---

二维电阻率层析成像勘测数据中反演算法技术的评估，用于地下特征的平衡测绘

摘要。电阻率成像数据中非唯一性模型的分析对于建立模型的一致性至关重要。尽管如此，这种分析在电阻率成像数据集中还是相当不寻常的。电阻层析成像（ERT）技术一直在许多科学领域中不断使用，包括工程，环境和考古调查。首先，在有或没有随机高斯噪声的综合模型数据集上采用反演算法技术，并通过场数据集测试其有效性。该研究是在丹巴德中央矿业与燃料研究所（CIMFR）的前提下进行的，方法是使用Syscal Pro（Iris仪器）电阻率仪铺设480 m长，电极间距为5 m的ERT剖面。在这项研究中使用了两个标准阵列，即Wenner-Schlumberger和偶极-偶极阵列。将数据集混合到单个阵列中，以获得更好的分辨率和增强的清晰度。通过Prosys-II软件处理数据时，将其导出到Res2Dinv软件中以进行倒置。在这种情况下，数据通过不同的算法技术（即最小二乘（L_2-范数）和鲁棒反演（L _1-范数）。通过鲁棒反演方法获得了与高，低电阻率异常中电阻率结构异质性相关的示例性结果。所得结果与仿真模型基本吻合。