The discussed approach allows for studying the implications in downstream processes caused by changes in upstream parts of the mining value chain. The results of geological and process data integration are compared with the real case data of an apatite iron ore. The approach uses quantitative mineralogical data and liberation information for process simulation. 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. 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. Lack of information at those project stages can be overcome by applying synthetic data for investigating different scenarios. 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.
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