Tecnologia em Metalurgia, Materiais e Mineração
https://tecnologiammm.com.br/article/doi/10.4322/2176-1523.20222677
Tecnologia em Metalurgia, Materiais e Mineração
Artigo Original

Inclusion of the geometallurgical variable specific energy in the mine planning using direct block scheduling

Inclusão da variável geometalúrgica energia específica no planejamento de lavra utilizando sequenciamento direto de blocos

Jônatas Franco Campos da Mata, Alizeibek Saleimen Nader, Douglas Batista Mazzinghy

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Abstract

In mining projects, it is necessary to have a wide knowledge of the main variables of the mineral deposit before strategic mine planning takes effect. In the meantime, the application of geometallurgy has allowed the modeling of parameters related to the lithologies present in the deposit, such as the specific energy in comminution. This work intends to carry out a mine planning case study with the Direct Block Scheduling (DBS) methodology implemented in the MiningMath software and using the Marvin block model. The results indicate that the processing time of each block required more complex decision-making from the DBS algorithm to fulfill the objectives of mine planning. It is also noticed that the algorithms prioritize the extraction of blocks more released in the first years of the mine, anticipating profits and leaving, for the second half of the life of the project, the intensification of development, aiming to release more blocks for mining.

Keywords

Geometallurgical modeling; Specific energy; Strategic mine planning; Direct block scheduling.

Resumo

Em projetos de mineração, faz-se necessário o amplo conhecimento das principais variáveis do depósito mineral antes da efetivação do planejamento estratégico de lavra. Neste interim, a aplicação da geometalurgia tem permitido o modelamento dos parâmetros relacionados às litologias presentes na jazida, como a energia específica de cominuição. Este trabalho pretende realizar um estudo de caso de planejamento de lavra com a metodologia de Sequenciamento Direto de Blocos (SDB) implementada no software MiningMath e utilizando o modelo de blocos Marvin. Os resultados indicam que o tempo de processamento de cada bloco exigiu do algoritmo de SDB tomadas de decisão mais complexas para cumprir os objetivos do planejamento de lavra. Percebe-se, também, que os algoritmos priorizam a extração de blocos mais liberados nos primeiros anos da mina, antecipando lucros e deixando, para a segunda metade da vida do projeto, a intensificação do desenvolvimento, visando liberar maior quantidade de blocos para a lavra.

Palavras-chave

Modelamento geometalúrgico; Energia específica; Planejamento estratégico de lavra; Sequenciamento direto de blocos.

Referências

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Submetido em:
13/01/2022

Aceito em:
20/06/2022

62d6a4e5a953952fd147f133 tmm Articles
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