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Simulation of a Mining Value Chain with a Synthetic Ore Body Model: Iron Ore Example

MiMeR—Minerals and Metallurgical Engineering, Luleå University of Technology, SE-971 87 Luleå, Sweden
Mathematics, Mathematical Science, Division of Mathematical Sciences, Luleå University of Technology, SE-971 87 Luleå, Sweden
Author to whom correspondence should be addressed.
Minerals 2018, 8(11), 536;
Received: 15 August 2018 / Revised: 9 November 2018 / Accepted: 15 November 2018 / Published: 18 November 2018
(This article belongs to the Special Issue Geometallurgy)
PDF [4732 KB, uploaded 18 November 2018]


Reconciliation of geological, mining and mineral processing information is a costly and time demanding procedure with high uncertainty due to incomplete information, especially during the early stages of a project, i.e., pre-feasibility, feasibility studies. Lack of information at those project stages can be overcome by applying synthetic data for investigating different scenarios. Generation of the synthetic data requires some minimum sparse knowledge already available from other parts of the mining value chain, i.e., geology, mining, mineral processing. The aim of the paper is to describe how to establish and construct a synthetic testing environment, or “synthetic ore body model” for data integration by using a synthetic deposit, mine production, constrained by a mine plan, and a simulated beneficiation process. The approach uses quantitative mineralogical data and liberation information for process simulation. The results of geological and process data integration are compared with the real case data of an apatite iron ore. The discussed approach allows for studying the implications in downstream processes caused by changes in upstream parts of the mining value chain. It also opens the possibility of optimising sampling campaigns by investigating different synthetic drilling scenarios including changes to the spacing between synthetic drill holes, composite length, drill hole orientation and assayed parameters. A synthetic deposit model can be a suitable tool for testing different scenarios for implementation of geometallurgical programs and also an educational tool for universities and companies. View Full-Text
Keywords: synthetic ore body; simulation; iron ore; prediction synthetic ore body; simulation; iron ore; prediction

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Lishchuk, V.; Lund, C.; Lamberg, P.; Miroshnikova, E. Simulation of a Mining Value Chain with a Synthetic Ore Body Model: Iron Ore Example. Minerals 2018, 8, 536.

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