Three-dimensional forward modeling and quantitative assessment of electrode offset effects in ERT

• Published in: Heliyon Vol. 10; no. 15; p. e35709
• Main Authors: Suo, Kui, Zhao, Mingdong, Jia, Menghan, Liu, Wenhui, Chen, Shizhong, Zhao, Guizhang
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 15.08.2024; Elsevier
• Subjects: Electrode offsets; ERT; Forward modeling; Three-dimensional; Topographic effects; Electrode offsets; Three-dimensional; Forward modeling; ERT; Topographic effects
• ISSN: 2405-8440; 2405-8440
• DOI: 10.1016/j.heliyon.2024.e35709

Resistivity data has important applications in geophysical exploration, but the impact of electrode offsets on resistivity response characteristics remains unclear. This study aims to explore the influence of horizontal electrode offset angles and vertical offsets caused by topographical variations on the forward modeling of resistivity data. By analyzing experimental models with different measurement arrays, the paper revealed their influence laws on the buried depth of the target body and resistivity resolution. Utilizing tools like ZondRes3D, we conducted 3D resistivity forward modeling and analyzed the results in detail. It is found that horizontal electrode offsets lead to pseudo-anomalies in the apparent resistivity response, which is related to the offset angles and the number of electrodes. Under different conditions, the horizontal electrode offsets exhibit a “gradient variation” pattern. In addition, topographical variations can also cause distortions and offsets in the apparent resistivity curves and the locations of the anomaly response. Specifically, the measuring lines near the edge of the target bodies are more susceptible to these effects. Based on the comprehensive experimental results, we have drawn several conclusions regarding the impact of electrode offsets and topographical variations, including the effects of offset angles on the pseudo-anomalies, the anomalous response laws under different topographic conditions, as well as anomalous situations under specific angles. These findings provide crucial insights for interpreting resistivity data in geophysical exploration and addressing practical engineering problems, and offer guidance for optimizing measuring line layouts and post-processing terrain correction algorithms.