Transcript PREP – Primary resource efficiency by enhanced prediction Pertti Lamberg Professor in Geometallurgy Luleå University of Technology www.gruvochmetallutvinning.se www.siostrim.se Geometallurgy group (2010-) Professors and post docs Pertti Lamberg Professor in.

PREP – Primary resource efficiency by
enhanced prediction
Pertti Lamberg
Professor in Geometallurgy
Luleå University of Technology
www.gruvochmetallutvinning.se
www.siostrim.se
Geometallurgy group (2010-)
Professors and post docs
Pertti Lamberg
Professor in Geometallurgy
Jan Rosenkranz
Christina Wanhainen
Professor in Mineral
Processing
Associate professor in
Economic Geology
Cecilia Lund Post
Doc Researcher
Maria Sinche Gonzales
Post Doc (visitor)
PhD students
Abdul Mwanga
Friederike Minz
Mehdi Parian
Viktor Lishchuk
Partners: LTU, LKAB, Boliden, Lundin Mining, Outotec, Chalmers
Pierre-Henri
Koch
2
Lowering head grades
40
2,600
Copper (%Cu)
(Ag, 1884 - 3,506 g/t)
Gold (g/t)
2,275
Lead (%Pb)
Zinc (%Zn)
30
Uranium (kg/t
(kg/tU3O8)
U3O8)
1,950
Nickel (%Ni)
Diamonds (carats/t)
25
1,625
Silver (g/t)
20
1,300
General Trend
15
975
10
650
5
325
0
1840
0
1855
1870
1885
1900
1915
1930
1945
1960
1975
1990
2005
Ore Grade (Ag)
Ore Grades (Cu, Pb, Zn, Au, Ni, U, Diamonds)
35
Norbotten Fe ores
Lund 2013
Collahuasi - Throughput
Alruitz et al 2009
Cumulative result. M€
Geometallurgy project
Production years
PREP Project
• Aim
– Develop an integrated modeling and simulation
environment for conducting comprehensive modelbased prognosis for the beneficiation of primary
mineral resources
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Characterisation methods
Characterisation and test procedures
Development of unit operation models
Development of integrated software platform
Hyperspectral
scanning
Mineral (assemblage)
Chlorite (Mg or other)
Chlorite-water/quartz
Flat response
Sericite
Sericite-chlorite
Chlorite-sericite
Amphibole-(sericite)
Carbonate
Gypsum
Hematite
Quartz
Quartz-phyllosilicate
Quartz carbonate
Quartz-phyllosilicate-carbonate
Phyllosilicate
Albite
Anorthite
Potassic feldspar
Magnetite-apatite
Quartz-unknown
Clinopyroxene
Colour
dark green
light green
grey
light blue
light purple
dark blue
purple
orange
light yellow
brown
red
pink
light orange
medium orange
orchid
mint green
cyan
sea green
maroon
light grey
navy blue
Mineral liberation measurement at LTU
Merlin HR-SEM
BSE image
Particles deagglomerated
Removal of
particles
touching edges
Segmentation
Measurements
X-ray
BSE
100
Conc Fe Rec%
• Also called Dings tube
• Small ore sample in defined
particle size is treated in
hydroseparator with magnetic
field -> Conc and Tail
80
60
40
20
0
0
10
20
30
40
50
60
Feed Fe%
Conc Fe Rec%
Geometallurgical test:
Davis Tube test
100
100
80
80
60
60
40
40
20
20
10 20 30 40 50 60 70 80 90 100
Fe carried by Mgt and Po %
Lamberg 2012
Particle tracking
Sphalerite-Pyrite
(50%:50%); 50-63 um; tph
• Mass balancing technique + modeling & simulation framework
• Lamberg & Vianna 2007
1.
Deposit
modeling
2.
Modeling of
crushing and
grinding
processes:
3.
Modeling of
concentration
processes
4.
Setup of
simulation
environment
5.
Case studies
Publications
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Lishchuk, V., Koch, P-H., Lund, C. and Lamberg, P.,
2015. Geometallurgical framework. Malmberget and
Miheevskoye case studies. XVth Conference of PhD
students and Young Scientists, Szlarska Poreba
(Poland), 20-22 May, 2015
Lishchuk V., Lamberg P., Lund C., 2014.
Classification of geometallurgical programs based on
approach and purpose. 13th SGA Biennial Meeting,
Nancy, France, 24-27 August 2017.
Koch, P-H., Lamberg, P., and Rosenkranz, J., 2015.
How to build a process model in a geometallurgical
program? 13th SGA Biennial Meeting, Nancy, France,
24-27 August 2017.
Lamberg, P., Parian, M. and Lund, C., 2015. Using
Mineral rather than Elemental Grades in Mineral
Resource Estimate – Motivation and Techniques. 13th
SGA Biennial Meeting, Nancy, France, 24-27 August
2017.
Viktor Lishchuk
Pierre-Henri
Koch
Emerald – M.Sc. Program in Georesource Engineering