Long-term mining planning is a complex process which involves a large number of variables and uncertainties. Traditional discount cash flow (DCF) is usually used in the evaluation of mining projects. DCF includes net present value (NPV), internal rate of return (IRR), and profitability index (PI). A sensitivity analysis is usually carried out to evaluate the impact of the main variables on the project. Another way to measure uncertainties is through the Monte Carlo simulation (MCS). The objective of this study is to evaluate and compare the DCF methods and measure uncertainties through sensitivity analysis and MCS in the evaluation of mine sequencing. A case study of a phosphate mine project was used to chart the comparative study. In the results, NPV and uncertainty analysis through MCS were more consistent.
Developing mine sequencing involves a number of factors and a large amount of information, and consequently the profitability of the project will strongly depend on the production schedule. A mining project may be conditioned to non-optimal sequencing, which may affect the economic results of the project and also lead to an inadequate utilization of the mineral resources. The conventional method of mining sequencing is divided into three main steps: first, the delineation of the final pit; second, subdivision of the final pit in operational pushbacks (mining advances) and third, sequencing the blocks in each of these pushbacks, taking into consideration mine, processing plant and market capacities. However, there are some aspects that are not usually incorporated in production scheduling, including ore mining below groundwater level. The objective of this study is to demonstrate the relevance and impact on the results of the Net Present Value (NPV) from groundwater level as a constraint related to the need for its drawdown, also considering grades and Stripping Ratio (SR) variability during mining sequence for a phosphate mine. The results show a difference of U$ 140 million for the evaluation considering and not considering groundwater level, without considering other restrictions.
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ResumoA competividade que as empresas enfrentam no mercado se torna cada dia mais intensa, por isso, é de grande importância que os processos sejam executados com eficiência, minimizando perdas. Na mineração a fase de explotação permite redução dos custos com uma boa gestão das operações de carregamento e transporte de minério e estéril para as etapas subsequentes do processo produtivo. O transporte desses materiais é feito em sua grande maioria por caminhões, os quais a produtividade é diretamente influenciada pela velocidade média. Este trabalho definiu, criou ferramentas e dashboards para gestão da velocidade média, possibilitando melhor gestão do desempenho da equipe e mapeamento e atuação em campo para melhorias nas condições dos acessos. Os resultados do trabalho mostraram um aumento de produtividade de 13% para a frota Caterpillar e 10,8% para a frota Komatsu. Foi evidenciado uma redução no consumo de diesel de 600 mil litros em dois anos, trazendo ganhos em sustentabilidade com redução da emissão de CO 2 . Também foram identificados melhoria nas condições de segurança e ergonomia das vias e direcionamento padronizado dos recursos de manutenção dos acessos.
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