Desenvolvimento e aplicação de metodologia para estudos de simulação dinâmica na cadeia do minério de ferro.

Cremonese, Dennis Travagini

doi:10.11606/d.3.2014.tde-16122014-154937

Cited by 2 publications

(2 citation statements)

References 21 publications

(6 reference statements)

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“…Due to the iterative nature of the method, which does not necessarily follow a list of sequences, some activities may be performed simultaneously and/ or repeated; the initial idea of the flow simulation study is shown in Figure 1 (Cremonese, 2014). The complete methodology in the development of a dynamic simulation model is described by Cremonese (2014). To develop the model with a sufficient level of detail, the following assumptions were considered:…”

Section: Methodsmentioning

confidence: 99%

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

2017

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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.

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Section: Methodsmentioning

confidence: 99%

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

2017

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“…Contudo, para que as decisões tomadas no horizonte de curto prazo sejam mais realísticas, é primordial a utilização de técnicas matemáticas, estatísticas, probabilísticas e computacionais, que promovam a melhoria dos processos minerais de modo que sejam reduzidos os custos e maximizados os benefícios. Cremonese (2014) afirma que é impossível que a cadeia de suprimentos minerais seja otimizada, eficiente e efetiva com a utilização de sistemas isolados e planilhas estáticas, e por isso faz-se necessário o uso de soluções sofisticadas que atendam os objetivos do setor mineral.…”

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Aprendizado de máquina aplicado ao planejamento de lavra de curto prazo para o aumento do desempenho operacional de equipamentos de mina.

Silva¹

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The complex combination of controls, systems and human aspects presented in the mine value chain are today responsible for an increasing amount of digital data in the mining industry. In this scenario, it is imperative the use of reliable and intelligent systems that can store and process the data to predict mine equipment performance. The objective of this study is to improve the prediction of operational performance in mine equipment for the short-term planning. For this purpose, it is proposed a machine learning (ML) methodology to map the production process from data collection until planning, with replication of the generated routines for subsequent short-term period analysis. The methodology was applied to predict the operational performance of excavators during working shifts in an open pit copper mine located in Northern Brazil, considering a series of variables such as operational, geological, geographic, maintenance. 175 predictive models were generated during the study, which were tested through cross-validation to improve the model adjustment to the collected data. The results obtained using this methodology confirmed that the use of ML predictive models provides a better understanding of the operation and allocation of mine loading fleet through the use of fast and realistic predictive routines.

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Desenvolvimento e aplicação de metodologia para estudos de simulação dinâmica na cadeia do minério de ferro.

Cited by 2 publications

References 21 publications

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

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

Aprendizado de máquina aplicado ao planejamento de lavra de curto prazo para o aumento do desempenho operacional de equipamentos de mina.

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