Evaluation of sampling in geometallurgical programs through synthetic deposit model
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 geolog...
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Luleå tekniska universitet, Mineralteknik och metallurgi
2016
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ftluleatu:oai:DiVA.org:ltu-59500 2023-05-15T17:04:20+02:00 Evaluation of sampling in geometallurgical programs through synthetic deposit model Lishchuk, Viktor Lamberg, Pertti Lund, Cecilia 2016 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59500 eng eng Luleå tekniska universitet, Mineralteknik och metallurgi IMPC 2016 : XXVIII International Mineral Processing Congress Proceedings orcid:0000-0002-9227-2470 http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59500 urn:isbn:978-1-926872-29-2 info:eu-repo/semantics/openAccess Sampling synthetic ore body simulation geometallurgical testing framework Metallurgy and Metallic Materials Metallurgi och metalliska material Conference paper info:eu-repo/semantics/conferenceObject text 2016 ftluleatu 2023-01-26T17:10:37Z 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. Conference Object Kiruna Malmberget Luleå University of Technology Publications (DiVA) Kiruna |
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Luleå University of Technology Publications (DiVA) |
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ftluleatu |
language |
English |
topic |
Sampling synthetic ore body simulation geometallurgical testing framework Metallurgy and Metallic Materials Metallurgi och metalliska material |
spellingShingle |
Sampling synthetic ore body simulation geometallurgical testing framework Metallurgy and Metallic Materials Metallurgi och metalliska material Lishchuk, Viktor Lamberg, Pertti Lund, Cecilia Evaluation of sampling in geometallurgical programs through synthetic deposit model |
topic_facet |
Sampling synthetic ore body simulation geometallurgical testing framework Metallurgy and Metallic Materials Metallurgi och metalliska material |
description |
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. |
format |
Conference Object |
author |
Lishchuk, Viktor Lamberg, Pertti Lund, Cecilia |
author_facet |
Lishchuk, Viktor Lamberg, Pertti Lund, Cecilia |
author_sort |
Lishchuk, Viktor |
title |
Evaluation of sampling in geometallurgical programs through synthetic deposit model |
title_short |
Evaluation of sampling in geometallurgical programs through synthetic deposit model |
title_full |
Evaluation of sampling in geometallurgical programs through synthetic deposit model |
title_fullStr |
Evaluation of sampling in geometallurgical programs through synthetic deposit model |
title_full_unstemmed |
Evaluation of sampling in geometallurgical programs through synthetic deposit model |
title_sort |
evaluation of sampling in geometallurgical programs through synthetic deposit model |
publisher |
Luleå tekniska universitet, Mineralteknik och metallurgi |
publishDate |
2016 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59500 |
geographic |
Kiruna |
geographic_facet |
Kiruna |
genre |
Kiruna Malmberget |
genre_facet |
Kiruna Malmberget |
op_relation |
IMPC 2016 : XXVIII International Mineral Processing Congress Proceedings orcid:0000-0002-9227-2470 http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59500 urn:isbn:978-1-926872-29-2 |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1766058413561741312 |