EGU24-16563, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-16563
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Imaging of sediment-hosted Cu deposits using ambient noise tomography: a case study of the Kansanshi Cu-mine, Zambia.

Tobermory Mackay-Champion1, Nicholas Harmon2, Sekelo Mutelekesha3, Mulenga Chanda4, Thomas Hudson1, John-Michael Kendall1, and Michael C Daly1
Tobermory Mackay-Champion et al.
  • 1Department of Earth Sciences, University of Oxford, Oxford, United Kingdom of Great Britain (tobermory.mackay-champion@univ.ox.ac.uk)
  • 2Woods Hole Oceanographic Institution, Woods Hole, MA, United States of America
  • 3First Quantum Minerals Ltd., Zambia
  • 4Geological Survey Department of Zambia, Ministry of Mines, Zambia

Improved passive seismic imaging of sedimentary basins plays a crucial role in improving our understanding of basin inversion tectonics and sedimentary-hosted mineral systems. The Central African Copperbelt of Zambia and the Democratic Republic of Congo is hosted in the Neoproterozoic Katangan sedimentary basin and accounted for 8.8% of global copper production in 2021 (World Economic Forum, 2024). Despite this, the tectonic evolution of the basin in Northern Zambia is currently unclear, significantly hampering our understanding of the Cu, Co and Ni mineralisation in that area. To investigate the geodynamics that shaped this region, and to assess the suitability of MEMS-accelerometers for passive seismic imaging of sedimentary basins, an array of nodal accelerometers was deployed around the Kansanshi Mine (NW Zambia), previously Africa’s largest Cu mine. Surface wave phase velocities in the mine and surrounding area were analysed using ambient noise tomography, with average Rayleigh wave phase velocities ranging from 3.05 +/- 0.2 km/s at 3 s period to 3.5 +/- 0.15 at 6 s period. The S-wave velocity at points of particular interest was examined using iterative non-linear inversions of surface wave dispersion curves constructed from the tomography results. These S-wave profiles provide new insight into the structural configuration of the Kansanshi copper mine and show that the mine overlies a large thickness of sediments from which the copper could be scavenged. This study illustrates the efficacy of performing ambient noise tomography on MEMS-accelerometer data to investigate the structures controlling the inversion of sedimentary basins and the formation of sedimentary-hosted metal deposits at a local to regional scale.

How to cite: Mackay-Champion, T., Harmon, N., Mutelekesha, S., Chanda, M., Hudson, T., Kendall, J.-M., and Daly, M. C.: Imaging of sediment-hosted Cu deposits using ambient noise tomography: a case study of the Kansanshi Cu-mine, Zambia., EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-16563, https://doi.org/10.5194/egusphere-egu24-16563, 2024.