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] |
| Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 193715435 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Sequential Cooperative Inversion Framework of DC Resistivity and Frequency-Domain Electromagnetic Data to Enhance Subsurface Imaging in Geoscience and Engineering. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Varfinezhad%2C+Ramin%22">Varfinezhad, Ramin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Parnow%2C+Saeed%22">Parnow, Saeed</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<i> saeed.parnow@uwl.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Fourie%2C+Francois+Daniel%22">Fourie, Francois Daniel</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tosti%2C+Fabio%22">Tosti, Fabio</searchLink><relatesTo>2,3,4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. May2026, Vol. 18 Issue 9, p1404. 26p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Inversion+%28Geophysics%29%22">Inversion (Geophysics)</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+resistance+measurement%22">Electric resistance measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Earth+sciences%22">Earth sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Geophysical+observations%22">Geophysical observations</searchLink><br /><searchLink fieldCode="DE" term="%22Nondestructive+testing%22">Nondestructive testing</searchLink><br /><searchLink fieldCode="DE" term="%22Imaging+systems+in+geophysics%22">Imaging systems in geophysics</searchLink><br /><searchLink fieldCode="DE" term="%22Hydrogeology%22">Hydrogeology</searchLink><br /><searchLink fieldCode="DE" term="%22Applied+sciences%22">Applied sciences</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22South+Africa%22">South Africa</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193715435 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs18091404 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 1404 Subjects: – SubjectFull: Inversion (Geophysics) Type: general – SubjectFull: Electric resistance measurement Type: general – SubjectFull: Earth sciences Type: general – SubjectFull: Geophysical observations Type: general – SubjectFull: Nondestructive testing Type: general – SubjectFull: Imaging systems in geophysics Type: general – SubjectFull: Hydrogeology Type: general – SubjectFull: Applied sciences Type: general – SubjectFull: South Africa Type: general Titles: – TitleFull: A Sequential Cooperative Inversion Framework of DC Resistivity and Frequency-Domain Electromagnetic Data to Enhance Subsurface Imaging in Geoscience and Engineering. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Varfinezhad, Ramin – PersonEntity: Name: NameFull: Parnow, Saeed – PersonEntity: Name: NameFull: Fourie, Francois Daniel – PersonEntity: Name: NameFull: Tosti, Fabio IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 18 – Type: issue Value: 9 Titles: – TitleFull: Remote Sensing Type: main |
| ResultId | 1 |
