Conference Proceedings
Fifth International Mining Geology Conference
Conference Proceedings
Fifth International Mining Geology Conference
The Application of Conditional Simulation to Mine Planning at Cannington
Cannington is a Broken Hill type deposit discovered by BHP Minerals, now BHP Billiton, in 1990. The deposit is located south east of Cloncurry, Queensland, Australia. The deposit occurs in the Eastern succession of the Mount Isa Inlier within the Soldiers Cap Group. The mineralisation is interpreted to be confined to two limbs of a synform wrapped around a core amphibolite. The silver, lead and zinc mineralisation is zoned within silicic and mafic units. There is a strong association between silver and lead. The combination of mafic and silicic zoning, differing relative grades of silver, lead, zinc and iron, the relative position of the mineralisation on the synform limbs and differing metallurgical performances have resulted in the identification of ten different ore types, four of which are currently extracted. Ordinary Kriging (OK) is used as the resource estimation methodology for the silver, lead and zinc mineralisation. This modelling approach has performed quite well for resource reporting and long term mine planning. However the limitations of this modelling technique to adequately provide information on a local stope scale has lead to the geological staff to consider alternatives to this approach. Limitations of the current modelling method apply to both the geometry of the orebodies and the grade variability. Since early-2000 the Cannington geologists have been experimenting with modelling both the distribution of the mineralisation types using Probability Field conditional simulation (PF) and the distribution of grade using Sequential Gaussian Simulation (SGS). This approach to local modelling of mineralisation type and metal grades using conditional simulation (CS) has undergone a full evaluation by comparing grades estimated for stopes using both the (OK) resource model and conditional simulation (CS) models. The mine planning staff have used the CS derived models, and have found improvements in grade predictions over the currently utilised Ordinary Kriging - derived resource model.
Contributor(s):
A Edwards
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- Published: 2003
- PDF Size: 0.411 Mb.
- Unique ID: P200308043