Statistical Evaluation of the classification-milling loop of the carbon in pulp plant of Antapite of the Company Sierra Sun Group (Peru) using regression analysis and ANOVA
DOI:
https://doi.org/10.21701/bolgeomin/135.1/002Keywords:
Gold, Metallurgy, Mining, Carbon in pulpAbstract
This manuscript involved a statistical evaluation of the milling-classification loop of the Antapite gold plant in Perú. The current metallurgical process is based on the carbon in pulp, which treats a head gold grade ore of 29.5 g/t. Nowadays, the milling loop uses a ball mill, whose discharged ore feeds a conventional Krebs hydrocyclone. Under current operating conditions, 71.30% of the gold concentrate is <74 μm (of 10 inches). Nevertheless, the objective was to increase at least 5 points in percentage the gold content in the concentrate to optimize the gold recovery in the cycyanidation-adsorption loop. This objective was solved by means of a multivariate statistics regression model to study the dependency of the variables in three different scenarios, eliminating
the non-significative statistical variables. The first scenario included the dependence of the cut size, d50C, with respect to the pressure and the feeding flow to the hydrocyclone. The second scenario involved the analysis of the dependence of the gold concentrate <74 μm with respect to the feeding flow, pressure, d50 and d50C. Finally, the third scenario included the evaluation of the gold concentrate <74 μm and d50C. Later, and once defined the parameter that would have influenced the variable of the gold concentrate <74 μm with the studied variables, it was possible to find the value of d50 correlated with the flow and working pressure to obtain the objective cut size of 77.39% of gold concentrate with < 74 μm.
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