Stochastic evaluation of sampling errors in mineral processing streams

During the operation of a mineral processing plant, the unit processes are investigated by analyzing the data extracted by means of stream sampling. The data structure is identical to the time series form. Data analysis is a crucial step in understanding the plant performance. To control the plant performance efficiently, it is very important to avoid sampling errors, which is impossible. However, it is possible to minimize these errors. The factors influencing these errors are divided into two categories: material properties illustrating its heterogeneity, and sampler features. The purpose of this paper is to study the influence of the material composition variation on sampling errors, and to compare our evaluation method with that of Gy. Note that the stream mass flowrate is assumed to be constant during the sampling process.
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Summary: No abstract is available for this paper
Publication: CIM Bulletin
Author(s): R. Levac, R.A. McIvor
Issue: 1056
Volume: 94
Year: 2001
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Summary: The results of a field-scale study involving in situ leaching of copper ore tailings using sulphuric acid as the leaching agent, injection wells to introduce the leaching solution and extraction wells to recover the copper-enriched pregnant leaching solution are presented. The study was performed at an abandoned tailings disposal site using a battery of injection and extraction wells. The medium was characterized through the determinations of physical, chemical, mineralogical, and hydrodisper...
Publication: CIM Bulletin
Author(s): J.F. Munoz, P. Rengifo, A. Suazo, C.D. Shackelford, M. Vauclin
Issue: 1056
Volume: 94
Year: 2001
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Summary: Tailings from the nickel refinery in Copper Cliff, Ontario, consist of fine silicates mixed with a variable amount of conductive and magnetic minerals mainly associated with sulphides and iron oxides. Subsequent oxidation of sulphide-rich phases within the tailings results in the formation of an acidic leachate that may contain significant concentrations of trace metals. Mapping the spatial distribution of regions of higher sulphide concentration therefore provides insight into the distributi...
Publication: CIM Bulletin
Author(s): J. Shang,B. Morris, P. Howarth
Issue: 1056
Volume: 94
Year: 2001
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Summary: Sulphide concentrates may exhibit self-heating to various degrees during storage or shipping, the worst cases presenting a serious hazard from fire and SO2 emission. Based on measurements of heating rates on a wide variety of concentrate samples in a special apparatus, combined with field experience, a methodology has been developed which allows concentrates to be rated for their heating potential. This has proven to be very useful in practice, for example, in deciding on the need to take...
Publication: CIM Bulletin
Author(s): F. Rosenblum, J. Nesset, P. Spira
Issue: 1056
Volume: 94
Year: 2001
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