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

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...

Full description

Bibliographic Details
Main Authors: Dennis Travagini Cremonese, Bhaskar Karanth, Giorgio de Tomi
Format: Article
Language:English
Published: Fundação Gorceix
Series:REM: International Engineering Journal
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2017000200215&lng=en&tlng=en
Description
Summary: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.
ISSN:2448-167X