A high-level dynamic analysis approach for studying global process plant availability and production time in the early stages of mining projects

Autor(es)

Dennis Travagini Cremonese ^[1] ; Bhaskar Karanth ^[2] ; Giorgio de Tomi ^[3]

Afiliação do(s) autor(es)

^[1] Universidade de São Paulo. Departamento de Minas e Engenharia do Petróleo - Brasil

^[2] Hatch - Iron Ore BU - Canadá

^[3] Universidade de São Paulo. Departamento de Minas e Engenharia do Petróleo - Brasil

• Tipo de documento: Artigo Científico
• Fonte: REM, Int. Eng. J.; v. 70, n. 2, p. 215-220, 2017-06-00.

Resumo

Abstract In the early stage of front-end studies of a Mining Project, the global availability (i.e. number of hours a plant is available for production) and production (number of hours a plant is actually operated with material) time of the process plant are normally assumed based on the experience of the study team. Understanding and defining the availability hours at the early stages of the project are important for the future stages of the project, as drastic changes in work hours will impact the economics of the project at that stage. An innovative high-level dynamic modeling approach has been developed to assist in the rapid evaluation of assumptions made by the study team. This model incorporates systems or equipment that are commonly used in mining projects from mine to product stockyard discharge after the processing plant. It includes subsystems that will simulate all the component handling, and major process plant systems required for a mining project. The output data provided by this high-level dynamic simulation approach will enhance the confidence level of engineering carried out during the early stage of the project. This study discusses the capabilities of the approach, and a test case compared with standard techniques used in mining project front-end studies. (AU)

• Processo FAPESP: 16/00647-2 - Simulação dinâmica da cadeia mineral mina-cliente
• Beneficiário: Giorgio Francesco Cesare de Tomi
• Modalidade de apoio: Auxílio à Pesquisa - Regular