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A proposal for a horizontal vector approach in 3D electrical resistivity tomography and its associated geometric factor
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Abstract
Electrical resistivity tomography (ERT) is commonly implemented with collinear electrode arrays that measure only electric-field components along the survey line, neglecting horizontal variations in other directions. While this limitation is acceptable in 2D ERT, it can be significant in 3D settings with complex geometry and strong resistivity contrasts. To address this issue, we propose an approach to determining the total magnitude and direction of the horizontal electric field. Access to such vector information may provide a more representative characterization of the local surface response in complex 3D settings. Because this requires non-collinear measurements, a corresponding basis for consistent apparent-resistivity calculation is also needed. We therefore introduce a generalized geometric factor based on field-aligned virtual points (FAViPs), defined by the primary-field direction in a homogeneous medium, to provide a physically consistent basis for non-collinear horizontal measurements. Because these points are defined at an arbitrary measurement location, the resulting geometric factor can be applied to non-collinear electrode arrays in irregular survey geometries. By formalizing these basic physical principles, this work provides a theoretical basis for horizontal-vector measurements in 3D ERT. While practical implementation may be limited by current field logistics, this approach offers a theoretical option for 3D surveys involving complex environments where more flexible electrode configurations may be beneficial.
DOI
https://doi.org/10.31223/X5X77V
Subjects
Physical Sciences and Mathematics
Keywords
Key words: 3D Electrical resistivity tomography (3D ERT), total magnitude and direction of the horizontal electric field, non-collinear, Geometric factor, field-aligned virtual points (FAViPs)
Dates
Published: 2026-04-22 13:49
Last Updated: 2026-04-22 13:49
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
The author declares that aspects of the methodology described in this work are related to a patent application filed by Subsurface Information Technologies, Inc., with which the author is affiliated. No commercial funding or financial compensation was received in connection with this study.
Data Availability:
The data supporting the findings of this study are contained within the article. No additional datasets were required.
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