Numerical evaluation of 3D geoelectrical resistivity imaging was conducted using orthogonal set of 2D pseudo-sections generated over two synthetic models, horst and trough models. The models represent geological environment that simulates a typical weathered profile and refuse dump site in a crystalline basement complex, respectively. Different arrays including Wenner-alpha (WA), Wenner-beta (WB), Wenner-Schlumberger (WSC), dipole-dipole (DDP), pole-dipole (PDP), and pole-pole (PP) arrays were used for the data generation. The 2D apparent resistivity data were collated to 3D data set and then inverted using a full 3D inversion code. The effectiveness of the technique for 3D resistivity imaging as well as the imaging capabilities of the selected arrays is evaluated. The observed anomaly effect and normalized model sensitivities of the arrays indicate that DDP and PDP arrays are more sensitive to the 3D features, while WSC show moderate sensitivity to 3D features. Field example in which the technique was applied in a 3D geoelectrical resistivity imaging for engineering site investigation in the crystalline basement complex of southwestern Nigeria is also presented.


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