Understanding the Structural Controls on Arsenic Mineralisation and Ore Distribution at the Miitel Nickel Mine,Widgiemooltha, Western Australia

The Australasian Institute of Mining and Metallurgy
D B. Mapleson A W. Bewsher T C. McCu
Organization:
The Australasian Institute of Mining and Metallurgy
Pages:
12
File Size:
1688 KB
Publication Date:
Jan 1, 2003

Abstract

The Miitel nickel sulfide deposit has been overprinted by a family of late stage structures that have acted as conduits for fluids that have contaminated the orebody with arsenic minerals. This has resulted in highly variable and unpredictable arsenic grades throughout the Miitel orebody. The ore produced from Miitel is processed under a toll-treatment agreement with Western Mining Resources Kambalda Nickel Concentrator. Part of this arrangement includes a financial penalty if monthly average arsenic grades in ore delivered exceed 800 ppm. This constraint has provided an extra challenge to the Miitel mine geologist in addition to daily underground duties. Routine development and stope mapping, close spaced sampling and cross-sectional interpretation were used in building an understanding of the structural controls of arsenic mineralisation and ore repetition at the Miitel nickel mine, and in providing maximum input to mine planning and scheduling. The distribution of structures responsible for arsenic introduction is now well understood from detailed mapping, sampling, and interpretation. By applying these insights to mine scheduling, the operation has successfully managed arsenic levels within the required specifications. Geological mapping has also improved the understanding of the structural complexity of the ore deposit, leading to the addition of ore tonnes and an increased confidence in resource modelling. Regular sampling and tight controls on data quality provided confidence in a strongly skewed arsenic data set. Multiple Indicator Kriging has been used for resource estimation of the arsenic contaminated nickel ore since it allows explicit control of the spatial influence of extreme grades in the positively skewed arsenic sample population. Both the grade control and exploration data sets are used to model the arsenic distribution.
Citation

APA: D B. Mapleson A W. Bewsher T C. McCu  (2003)  Understanding the Structural Controls on Arsenic Mineralisation and Ore Distribution at the Miitel Nickel Mine,Widgiemooltha, Western Australia

MLA: D B. Mapleson A W. Bewsher T C. McCu Understanding the Structural Controls on Arsenic Mineralisation and Ore Distribution at the Miitel Nickel Mine,Widgiemooltha, Western Australia. The Australasian Institute of Mining and Metallurgy, 2003.

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