1887

Abstract

Summary

While airborne electromagnetics (AEM) is routinely employed as an exploration tool for Mn mineral systems in Australian, the challenges of using the derived data to better delimit the extent of supergene Mn resources in regolith settings has received limited attention. This is particularly so for geological settings where the measured AEM response is strongly affected by IP effects. Here the question as to whether inverting for conductivity and IP can improve the definition of supergene Mn mineralisation in the subsurface, thereby helping determine the resources present is examined. The focus of this study was the Butcherbird/Yanneri Ridge deposits which occur in the Collier group in the eastern part of the Bangemall Basin in Western Australia. These deposits are highly conductive, and chargeable. A full non-linear 1D inversion of the helicopter (XTEM) time domain airborne EM data set effectively outlines the lateral and vertical extent of supergene Mn mineralisation defined in drilling, particularly when inverting for both conductivity and IP. This is not the case when just inverting for conductivity or when employing transforms on the data.

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/content/papers/10.3997/2214-4609.201802693
2018-09-09
2020-07-07
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References

  1. Auken, E., Christiansen, A. V., Kirkegaard, C., Fiandaca, G., Schamper, C., Behroozmand, A. A., Binley, A., Nielsen, E., Effersø, F., Christensen, N. B., Sørensen, K., Foged, N. and Vignoli, G.
    [2015] An overview of a highly versatile forward and stable inverse algorithm for airborne, ground-based and borehole electromagnetic and electric data. Exploration Geophysics, 46, 223–235.
    [Google Scholar]
  2. Fiandaca, G., Madsen, L.M. & Maurya, P.K.
    [2018] Re-parameterization of the Cole-Cole model for improved spectral inversion of induced polarization data, Near Surface Geophysics, 16, in press doi: 10.3997/1873‑0604.2017065
    https://doi.org/10.3997/1873-0604.2017065 [Google Scholar]
  3. Hashemi, A., and Meyers, J.
    [2004] HoisTEM data processing for discovery of high-grade manganese ore under regolith cover: Exploration Geophysics, 35, 272–276.
    [Google Scholar]
  4. Irvine, R. and Berents, H.
    [2000] Airborne EM survey over the Groote Eylandt manganese mine, Australia. SEG Technical Program Expanded Abstracts 2000: pp. 1109–1112. https://doi.org/10.1190/L1815580
    [Google Scholar]
  5. Kita, J., Noetzli, A., Kusumaputri, N. and Lowe, M.
    [2012] Airborne electromagnetics in Pilbara manganese exploration – a case study. ASEG extended abstracts 2012: 22nd Geophysical Conference: pp. 1–2
    [Google Scholar]
  6. Macnae, J.
    [2017], Advances in Electromagnetic Data Processing: Noise, Signal, SPM and AIP. In “Proceedings of Exploration 17: Sixth Decennial International Conference on Mineral Exploration” edited by V.Tschirhart and M.D.Thomas, 2017, p. 191–208.
    [Google Scholar]
  7. Smith, R. and Klein, J.
    [1996] A special circumstance of airborne induced-polarization measurements, Geophysics, 66 (1), 66–73.
    [Google Scholar]
  8. Viezzoli, A., Kaminski, V. and Fiandaca, G.
    [2017] Modelling induced polarization effects in helicopter time-domain electromagnetic data: Synthetic case studies. Geophysics82, 2, E31–E50.
    [Google Scholar]
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