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Evaluation of sampling in geometallurgical programs through synthetic deposit model
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Mineralteknik och metallurgi.ORCID-id: 0000-0002-9227-2470
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Mineralteknik och metallurgi.
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Mineralteknik och metallurgi.
Rekke forfattare: 32016 (engelsk)Inngår i: IMPC 2016: XXVIII International Mineral Processing Congress Proceedings, 2016Konferansepaper, Oral presentation with published abstract (Fagfellevurdert)
Abstract [en]

The main purpose of geometallurgy is to develop a model to predict the variability in the mineralprocessing performance within the ore body. Geometallurgical tests used for developing such a model need to be fast, practical and inexpensive and include as an input data relevant and measureable geological parameters like elemental grades, mineral grades and grain size. Important in each geometallurgical program is to define the number of samples needed to be sent for geometallurgical testing to enable reliable metallurgical forecast. This is, however, a complicated question that does not have a generic answer.To study the question on sampling a simulation environment was built including a synthetic orebody and sampling & assaying module. A synthetic Kiruna type iron oxide - apatite deposit was established based on case studies of Malmberget ore. The synthetic ore body includes alike variability in rock types, modal mineralogy, chemical composition, density and mineral textures as its real life counterpart. The synthetic ore body was virtually sampled with different sampling densities for a Davis tube testing, a geometallurgical test characterising response in magnetic separation. Based on the test results a forecast for the processing of the whole ore body was created. The forecasted parameters included concentrate tonnages, iron recovery and concentrate quality in terms of iron, phosphorous and silica contents.The study shows that the number of samples required for forecasting different geometallurgicalparameters varies. Reliable estimates on iron recovery and concentrate mass pull can be made with about 5-10 representative samples by geometallurgical ore type. However, when the concentrate quality in terms of impurities needs to be forecasted, the sample number is more than 20 times higher. This is due to variation in mineral liberation and shows the importance of developing techniques to collect qualitative information on mineral and ore textures in geometallurgy.

sted, utgiver, år, opplag, sider
2016.
Emneord [en]
Sampling, synthetic ore body, simulation, geometallurgical testing framework.
HSV kategori
Forskningsprogram
Mineralteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-59500ISBN: 978-1-926872-29-2 (tryckt)OAI: oai:DiVA.org:ltu-59500DiVA, id: diva2:1032956
Konferanse
XXVIII International Mineral Processing Congress, Québec City, September 11-15 2016
Tilgjengelig fra: 2016-10-05 Laget: 2016-10-05 Sist oppdatert: 2018-03-01bibliografisk kontrollert

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Lishchuk, ViktorLamberg, PerttiLund, Cecilia

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