1887

Abstract

Summary

Modelling induced polarization effects in airborne electromagnetic (AEM) data is becoming a standard tool in mineral exploration, but the industry standard is still based on one-dimensional (1D) forward and Jacobian modelling. We have developed a three-dimensional (3D) vector finite element electromagnetic forward and inversion method considering IP effects within the EEMverter modelling platform. The computations are carried out in the frequency domain and then transformed into time domain through a fast Hankel transformation. For large-scale survey data, we developed a hybrid 1D-3D inversion strategy that allows us to perform 3D calculations only on the area of interest. This hybrid inversion method with kernels of different dimensionality (3D and 1D) uses independent forward meshes and a shared model mesh, allowing fast inversions on large datasets with seamless transitions between areas modelled in 3D and 1D. We demonstrated the feasibility of this strategy using AEM data collected in the Ransko Massif in Eastern Bohemia within the SEMACRET Horizon Europe project. The 3D-1D hybrid inversion, which considers IP effects, exhibits a clear correlation between known mineralization and resistivity and IP anomalies.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202520253
2025-09-07
2026-02-11

  • From This Site

    /content/papers/10.3997/2214-4609.202520253
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Auken, E., Christiansen, A. V., Jacobsen, L. H. & Sørensen, K. I., 2008. A resolution study of buried valleys using laterally constrained inversion of TEM data, J. appl. Geophys., 65, 10–20.
     [Google Scholar]
  2. Ackerman, L., Pašava, J., & Erban, V., 2013. Re-Os geochemistry and geochronology of the Ransko gabbro-perioditic massif, Bohemian Massif. Mineralium Deposita, 48, 799–804.
     [Google Scholar]
  3. Babu, V. R., Patra, I., Tripathi, S., Muthyala, S. & Chaturvedi, A. K., 2017. Inductive induced polarization effect in heliborne time-domain electromagnetic data for uranium exploration, northern part of Cuddapah Basin, India, Geophysics, 82, B109–B120. https://doi.org/10.1190/geo2016-0291.1.
     [Google Scholar]
  4. Cox, L.H., Zhdanov, M. S. & Prikhodko, A., 2024. Inversion for 3D Conductivity and Chargeability Models Using EM Data Acquired by the New Airborne TargetEM System in Ontario, Canada, Minerals, 14(237).
     [Google Scholar]
  5. Dauti, F., Viezzoli, A., Fernandez, I., Chen, J. & Fiandaca, G., 2024. Airborne IP driven exploration for a green-field research project, Australian Society of Exploration Geophysicists Extended Abstracts, 1–6, 1st ASEG DISCOVER Symposium, Hobart. https://doi.org/10.5281/zenodo.13883789.
     [Google Scholar]
  6. FiandacaG., Meldgaard MadsenL., MauryaP.K., 2018. Re-parameterisations of the Cole-Cole model for improved spectral inversion of induced polarization data, Near Surface Geophysics, 16 (4), 385–399. https://doi.org/10.3997/1873-0604.2017065.
     [Google Scholar]
  7. Fiandaca, G., Chen, J., Zhang, B., 2024. EEMverter, a New Modelling Tool for Electric and Electromagnetic Data with Focus on Induced Polarization, in: NSG 2024 30th European Meeting of Environmental and Engineering Geophysics, Helsinki, Finland, pp. 1–5. https://doi.org/10.3997/2214-4609.202420166.
     [Google Scholar]
  8. Hallbauer-Zadorozhnaya, V. & Stettler, E. H., 2006. The detection of hydrocarbon contaminated of groundwater by using the IP effect in TDEM soundings, S. Afr. J. Geol., 109(4), 529–540. https://doi.org/10.2113/gssajg.1094.529.
     [Google Scholar]
  9. Lin, C. H., Fiandaca, G., Auken, E., Couto, M. N. & Christiansen, A. V., 2019. A discussion of 2D induced polarization effects in airborne electromagnetic and inversion with a robust 1D laterally constrained inversion scheme, Geophysics, 84, E75–E88. https://doi.org/10.1190/geo2018-0102.1.
     [Google Scholar]
  10. Mörbe, W., Yogeshwar, P., Tezkan, B., Kotowski, P., Thiede, A., Steuer, A., Rochlitz, R., Günther, T., Brauch, K. & Becken, M., 2024. 3D inversion of semi-airborne electromagnetic data for graphite exploration - influence of topography and induced polarization effects, Geophysics, 0, 1–54.
     [Google Scholar]
  11. Zhang, X., Yan, L., Huang, X., Zhou, L., Wang, X. & Cao, X., 2024. Three-Dimensional Forward Modeling of Transient Electromagnetic Method Considering Induced Polarization Effect Based on Spectral Element Method, Minerals, 14(24). https://doi.org/10.3390/min14010024.
     [Google Scholar]
/content/papers/10.3997/2214-4609.202520253
Loading
Three Dimensional AEM-IP Inversion for Mineral Exploration in the SEMACRET Project
Conference Proceedings 2025, 1 (2025); https://doi.org/10.3997/2214-4609.202520253
/content/papers/10.3997/2214-4609.202520253
/content/papers/10.3997/2214-4609.202520253
Loading

Data & Media loading...

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error