Joint inversion of Electrical and Electromagnetic data – Part II: Induced Polarization and 3D EM modelling

References

1. Chen, J.; Dauti, F.; Zhang, B.; Fiandaca, G, 2025. Three dimensional AEM-IP inversion for mineral exploration in the SEMACRET project. In NSG 2025 31st European Meeting of Environmental and Engineering Geophysics, 1, 1–5. European Association of Geoscientists & Engineers.
   [Google Scholar]
2. Christensen, N.B., 2000. Difficulties in determining electrical anisotropy in subsurface investigations. Geophysical Prospecting. 48(1), 1–19.
   [Google Scholar]
3. Christiansen, A.V., Auken, E., Foged, N., Sørensen, K.I., 2007. Mutually and laterally constrained inversion of CVES and TEM data: a case study. Near Surface Geophysics5, 115–123. https://doi.org/10.3997/1873-0604.2006023
   [Google Scholar]
4. 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]
5. Fiandaca, G., Ramm, J., Binley, A., Gazoty, A., Christiansen, A.V., Auken, E., 2013. Resolving spectral information from time domain induced polarization data through 2-D inversion. Geophys. J. Int., 192, 631–646. https://doi.org/10.1093/gji/ggs060.
   [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. JesusA.P., MateusA., MunháJ. M., TassinariC., 2014. Internal architecture and Fe–Ti–V oxide ore genesis in a Variscan synorogenic layered mafic intrusion, the Beja Layered Gabbroic Sequence (Portugal), Lithos, Volumes 190–191, Pages 111–136, ISSN 0024-4937, https://doi.org/10.1016/j.lithos.2013.12.001.
   [Google Scholar]
8. Madsen, L.M., Fiandaca, G., Auken, E., 2020. 3-D time-domain spectral inversion of resistivity and full-decay induced polarization data—full solution of Poisson's equation and modelling of the current waveform. Geophysical Journal International223, 2101–2116. https://doi.org/10.1093/gji/ggaa443
   [Google Scholar]
9. OlssonP.-I., FiandacaG., LarsenJ.J., DahlinT. & AukenE., 2016. Doubling the spectrum of time-domain induced polarization by harmonic de-noising, drift correction, spike removal, tapered gating and data uncertainty estimation, Geophysical Journal International, 207 (2), 774–784. https://doi.org/10.1093/gji/ggw260
   [Google Scholar]
10. SignoraA., GalliS., DautiF., ChenJ., MundayT., FiandacaG., 2025. Joint inversion of Electrical and Electromagnetic data – Part I: unprecedented resolution improvements. In NSG 2025 31st European Meeting of Environmental and Engineering Geophysics, 1, 1–5. European Association of Geoscientists & Engineers.
    [Google Scholar]
11. Sullivan, N. A. L., Viezzoli, A., Fiandaca, G., 2024. EEMstudio: process and model electric and electromagnetic data with a QGIS plugin. In NSG 2024 30th European Meeting of Environmental and Engineering Geophysics, 1, 1–5. European Association of Geoscientists & Engineers.
    [Google Scholar]
12. Weller, A., Seichter, M., Kampke, A., 1996. Induced-polarization modelling using complex electrical conductivities. Geophysical Journal International127, 387–398. https://doi.org/10.1111/j.1365-246X.1996.tb04728.x.
    [Google Scholar]