Www.gruvochmetallutvinning.se PREP – Primary resource efficiency by enhanced prediction Pertti...

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www.gruvochmetallutvinning.se www.siostrim.se PREP – Primary resource efficiency by enhanced prediction Pertti Lamberg Professor in Geometallurgy Luleå University of Technology

Transcript of Www.gruvochmetallutvinning.se PREP – Primary resource efficiency by enhanced prediction Pertti...

Page 1: Www.gruvochmetallutvinning.se  PREP – Primary resource efficiency by enhanced prediction Pertti Lamberg Professor in Geometallurgy Luleå.

www.gruvochmetallutvinning.sewww.siostrim.se

PREP – Primary resource efficiency by enhanced prediction

Pertti Lamberg

Professor in GeometallurgyLuleå University of Technology

Page 2: Www.gruvochmetallutvinning.se  PREP – Primary resource efficiency by enhanced prediction Pertti Lamberg Professor in Geometallurgy Luleå.

Geometallurgy group (2010-)

Pertti Lamberg Professor in Geometallurgy

Jan Rosenkranz Professor in Mineral Processing

Christina WanhainenAssociate professor in Economic Geology

Cecilia Lund Post Doc Researcher Maria Sinche Gonzales Post Doc (visitor)

Abdul Mwanga Friederike Minz Mehdi Parian

Viktor Lishchuk Pierre-Henri Koch

Professors and post docs

PhD students

2Partners: LTU, LKAB, Boliden, Lundin Mining, Outotec, Chalmers

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Lowering head grades

1840 1855 1870 1885 1900 1915 1930 1945 1960 1975 1990 20050

5

10

15

20

25

30

35

40

0

325

650

975

1,300

1,625

1,950

2,275

2,600

Copper (%Cu)

Gold (g/t)

Lead (%Pb)

Zinc (%Zn)

Uranium (kg/t U3O8)

Nickel (%Ni)

Diamonds (carats/t)

Silver (g/t)

Ore

Gra

des

(C

u,

Pb

, Z

n,

Au

, N

i, U

, D

iam

on

ds)

Ore

Gra

de

(Ag

)

(kg/t U3O8)

(Ag, 1884 - 3,506 g/t)

General Trend

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Norbotten Fe ores

Lund 2013

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Collahuasi - Throughput

Alruitz et al 2009

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Geometallurgy project

Production years

Cum

ulat

ive

resu

lt. M

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PREP Project• Aim

– Develop an integrated modeling and simulation environment for conducting comprehensive model-based prognosis for the beneficiation of primary mineral resources

• Characterisation methods• Characterisation and test procedures• Development of unit operation models• Development of integrated software platform

Page 8: Www.gruvochmetallutvinning.se  PREP – Primary resource efficiency by enhanced prediction Pertti Lamberg Professor in Geometallurgy Luleå.
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Hyperspectral scanning

Mineral (assemblage) ColourChlorite (Mg or other) dark greenChlorite-water/quartz light greenFlat response greySericite light blueSericite-chlorite light purpleChlorite-sericite dark blueAmphibole-(sericite) purpleCarbonate orangeGypsum light yellowHematite brownQuartz redQuartz-phyllosilicate pinkQuartz carbonate light orangeQuartz-phyllosilicate-carbonate medium orangePhyllosilicate orchidAlbite mint greenAnorthite cyanPotassic feldspar sea greenMagnetite-apatite maroonQuartz-unknown light greyClinopyroxene navy blue

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Mineral liberation measurement at LTU

Merlin HR-SEM

BSE imageParticles de-agglomerated

Removal of particles

touching edgesSegmentation

MeasurementsX-rayBSE

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Geometallurgical test: Davis Tube test

• Also called Dings tube• Small ore sample in defined particle

size is treated in hydroseparator with magnetic field -> Conc and Tail

0

20

40

60

80

100

0 10 20 30 40 50 60

Co

nc

Fe

Re

c%

Feed Fe%

20

40

60

80

100

10 20 30 40 50 60 70 80 90 100

Co

nc

Fe

Re

c%

Fe carried by Mgt and Po %

20

40

60

80

100

Lamberg 2012

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Particle tracking

• Mass balancing technique + modeling & simulation framework• Lamberg & Vianna 2007

Sphalerite-Pyrite (50%:50%); 50-63 um; tph

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1. Deposit modeling

2. Modeling of crushing and grinding processes:

3. Modeling of concentration processes

4. Setup of simulation environment

5. Case studies

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Publications• 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

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Emerald – M.Sc. Program in Georesource Engineering