Bringing predictability into a geometallurgical program : An iron ore case study

University dissertation from Luleå : Luleå University of Technology

Author: Viktor Lishchuk; Luleå Tekniska Universitet.; [2019]

Keywords: TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Additivity; Apatite iron ore; AIO; Block model; Change of support; Classification; Data integration; DT; Feed quality; Geometallurgical program; Geometallurgy; Iron ore; Iron recovery; Leveäniemi; Liberation; Machine learning; Magnetic separation; Malmberget; Mineralogical approach; Mineralogy; Prediction; Proxies; Proxies approach; Sampling; Simulation; Synthetic ore body; Traditional approach; WLIMS; Mineral Processing; Mineralteknik;

Abstract:

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