Modelling and simulating the geoelectrical attributes of near-surface buried objects to optimizing its discovery

• Published in: Modeling earth systems and environment 2024-10, Vol.10 (5), p.5969-5981
• Main Authors: Gomaa, Mohamed M., Zarif, Fardous, Shenawy, Ahmed El, Ramah, Mohamed, Kotb, Adel Diab Mohammed
• Format: Article
• Language: English
• Subjects: Arrays; Buried structures; Chemistry and Earth Sciences; Computer Science; Correlation coefficient; Correlation coefficients; Dipoles; Earth and Environmental Science; Earth Sciences; Earth System Sciences; Ecosystems; Electrical resistivity; Environment; Fault detection; Fault location; Geoelectricity; Math. Appl. in Environmental Science; Mathematical Applications in the Physical Sciences; Original Article; Physics; Scale models; Statistics for Engineering; Steel; Tomography; Two dimensional analysis
• ISSN: 2363-6203; 2363-6211
• DOI: 10.1007/s40808-024-02095-z

This study explores the current state of research in modeling and simulating geoelectrical properties of buried objects, focusing on 2D and 3D techniques. The study evaluated the ability of geoelectrical data to determine geometrical structures and analyze resistivity values of geological features using three models:1) a steel buried object model; 2) a brick model representing a small-scale normal fault, and 3) a foam object model. The study assessed geoelectrical data quality and dependability using Pearson correlation coefficients for both synthetic and laboratory models. Wenner arrays are used to accurately detect the depth of buried steel objects, whereas Dipole-Dipole arrays are effective in locating faults. Additionally, the study examined Wenner and Dipole-Dipole arrays’ usefulness for buried object cases, highlighted how multiple arrays may be used to identify foam objects, and emphasized the importance of array selection for specific surveys. The study emphasizes the importance of considering 3D effects, choosing the right array, and being aware of the limitations of two-dimensional electrical resistivity tomography 2DERT in accurately representing geoelectrical structures in various subsurface environments.