A Sequential Cooperative Inversion Framework of DC Resistivity and Frequency-Domain Electromagnetic Data to Enhance Subsurface Imaging in Geoscience and Engineering.
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| Title: | A Sequential Cooperative Inversion Framework of DC Resistivity and Frequency-Domain Electromagnetic Data to Enhance Subsurface Imaging in Geoscience and Engineering. |
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| Authors: | Varfinezhad, Ramin1 (AUTHOR), Parnow, Saeed2,3 (AUTHOR) saeed.parnow@uwl.ac.uk, Fourie, Francois Daniel3,4 (AUTHOR), Tosti, Fabio2,3,4 (AUTHOR) |
| Source: | Remote Sensing. May2026, Vol. 18 Issue 9, p1404. 26p. |
| Subjects: | Inversion (Geophysics), Electric resistance measurement, Earth sciences, Geophysical observations, Nondestructive testing, Imaging systems in geophysics, Hydrogeology, Applied sciences |
| Geographic Terms: | South Africa |
| Abstract: | Highlights: What are the main findings? Synthetic modelling indicates that individual inversions of DC resistivity and FDEM data have limitations in resolving the geometry of complex, compact, and dyke-like sources. The sequential cooperative inversion strategy leads to more consistent imaging results, successfully integrating the complementary strengths of both geophysical methods. Results from the Morgenzon Farm site in South Africa demonstrate that DC resistivity models constrained by FDEM data provide improved reconstruction of dolerite dykes. What are the implications of the main findings? The sequential cooperative approach effectively reduces structural ambiguity, achieving higher fidelity in subsurface geometry and amplitude compared to separate inversions. The proposed algorithm is computationally efficient, converging to a consistent model in fewer than 10 iterations. This approach establishes a robust non-destructive testing (NDT) methodology, facilitating more reliable decision-making for geotechnical site investigations and groundwater exploration. The characterisation of subsurface electrical resistivity is a fundamental requirement for geoscientific and engineering applications, including groundwater exploration and structural assessments. This study examines the sequential cooperative inversion of direct current resistivity and frequency-domain electromagnetic data and compares the results to the inverse models obtained from separate (individual) inversions of the datasets. The proposed cooperative framework is applied to both synthetic datasets generated through forward modelling and field data acquired at the Morgenzon Farm site, South Africa, to delineate a dolerite dyke of hydrogeological significance. Individual inversions identified distinct features but exhibit limitations: direct current resistivity highlights a two-layered medium with minor anomalies, while frequency-domain electromagnetic data identify a resistive anomaly. In contrast, the sequential cooperative inversion approach, which uses the output of one dataset to constrain the other, provides improved subsurface imaging results, reduces ambiguity, and enables the integration of complementary information from both methods. The results indicate that resistivity models constrained by inverse frequency-domain electromagnetic data provide improved representation of subsurface geometry and amplitude compared to individual approaches. These findings support the use of a non-destructive testing approach for improved subsurface imaging, facilitating better-informed decision-making in infrastructure projects and resource management. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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