Abstract
The aim of this study was to simulate the geometry of uranium mineralisation in the Rossing deposit. As plurigaussian simulations have been successful in modelling the lithotypes in oil reservoirs (that is, for sedimentary sequences) we wanted to test whether this approach could also simulate intrusive rocks hosted in metasediments. The work has been carried out in two stages. In the first part (Skvortsova et al, 2000) we successfully simulated the overall structure of the deposit. The lithotypes were reproduced in the correct stratigraphic order and in the right quantities, and mineralisation that is concordant with the bedding planes was reproduced correctly. However we were unable to generate mineralised stringers that cut across the bedding planes. This paper shows how this can be done.
After reviewing the geology, the mining method and the available data, we give an overview of the plurigaussian simulation method. When applying this methodology, the key steps are:
-
- choosing the reference marker to flatten the deposit
-
- grouping the lithologies into lithotypes
-
- computing the vertical proportion curves
-
- choosing the lithotype rule
-
- calculating the experimental indicators variograms and fitting a model to the underlying gaussian random functions
-
- carrying out the gaussian simulation and truncating to obtain the lithotypes - returning the deposit to its initial position
We describe how these steps were applied to the Rossing data, emphasising the geologist’s input into the decision-making process. Several simulations were generated.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bowden P., Herd D. and Kinnaird J. (1994) The significance of uranium and thorium concentrations in pegmatitic leucogranites (alaskites), Rossing Mine, Swakopmund, Namibia, in Proceedings of the Conference on Proterozoic Crustal and Metallogenic Evolution, held in Windhoek.
Eschard R., Doligez B. Beucher H. (2001) Using quantitative outcrop databases as a guide for geological reservoir modelling, This Volume
Forkes J., Hirsch M. and Murphy R. (1995) Mineral resource estimation at Rossing uranium mine, Namibia: past, present and future, Proceedings of African Mining 95, held in Windhoek 7–9 July 1995, published by the IMM, London, pp 205–220
Galli A.,Beucher H.,Le Loch G.and Doligez B.(1994) The pros and cons of the truncated gaussian method. In Armstrong et al.eds.,Geostatisticat Simulations.Dordrecht:Kluwer. 217–233.
Le Loch G., Beucher H., Galli A. and Doligez B. (1994) Improvement in the truncated gaussian method: combining several Gaussian functions. In Proc. ECMOQ IN, 4th European Conference on the Mathematics of Oil Rçcoveny, Afros, Norway. 13 p.
Le Loch G and Galli A., (1997) Truncated plurigaussian method: theoretical points of view, In E.Y. Baafi et al eds GeostatisticsWottongong ‘86, Vol 1. Kluwer, Dordrecht, pp 211–222
Matheron G., Beucher H., de Fouquet C., Galli A., Guérillot D. and Ravenne C. (1987) Conditional simulation of the geometry of fluvio-deltaic reservoirs. SPE 1987 Annual Technical Conference and Exhibition, Dallas, Texas. 591–599. SPE 16753.
Skvortsova T., Armstrong M., Beucher H., Forkes J., Thwaites A. and Turner R., (2000) Applying plurigaussian simulations to a granite-hosted orebody, Geostat2000 — Proceedings of the International Geostatistics Congress, in press
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Skvortsova, T., Beucher, H., Armstrong, M., Forkes, J., Thwaites, A., Turner, R. (2002). Simulating the Geometry of a Granite-Hosted Uranium Orebody. In: Armstrong, M., Bettini, C., Champigny, N., Galli, A., Remacre, A. (eds) Geostatistics Rio 2000. Quantitative Geology and Geostatistics, vol 12. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1701-4_7
Download citation
DOI: https://doi.org/10.1007/978-94-017-1701-4_7
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5954-3
Online ISBN: 978-94-017-1701-4
eBook Packages: Springer Book Archive