Use of geostatistical simulation in evaluation of risks and uncertainties associated to mine reserve estimation
The risks and uncertainties associated to mining are several and complex. A mineral industry differs from others productive sectors because,noticeably,the product is based on estimates of reserves. Thus,potentials changes on revenues and mineral inventory are controlled fundamentally by commodities prices and exchanges taxes. One of the main sources of risks and uncertainties are the incomplete knowledge of the ore body. This paper presents the main sources of risks and uncertainties associated to the phases of a mining planning and is shown,through an example,as the use of geoestatistical simulation can contribute to a best decision considering a typical scenery of uncertainties that ever involves estimates in mining. A Gaussian Sequential Simulation was applied to a geologic iron ore database generating 50 realizations. For each one of these realizations was calculated quantity of metal,considering an average grade,and benefit.Through the comparison of the 50 results generated with the estimated value of these functions obtained from the estimated average grade of the blocks,a quantitative idea of the scenery of uncertainties associated to that estimate was made and this one can help in the decision making process.
simulation geostatistics uncertainty recovery reserves
Adilson Curi Carlos Enrique Arroyo Ortiz Ivo Eyer Cabral
Departament of Mining Engineering,Federal University,Ouro Preto,Brazil Fapemig - Fundac(a)o de Amparo a Pesquisa do Estado de Minas Gerais
国际会议
北京
英文
522-532
2008-10-20（万方平台首次上网日期，不代表论文的发表时间）