run of mine ore upgrading: proof of concept plant …
TRANSCRIPT
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RUN OF MINE ORE UPGRADING: PROOF OF CONCEPT PLANT FOR XRF ORE SORTING Anglo American Platinum: Concentrator Technology
Ruan Fouchee, Chris Rule, Ernst Swart
SAG Conference, Vancouver, BC, Canada
September 2015
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CONTENTS
• Ore Pre-Concentration
• Sorting Technology
• XRF sorters
• Test Work
• Proof of Concept Plant
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CONTENTS
• Ore Pre-Concentration
• Sorting Technology
• XRF sorters
• Test Work
• Proof of Concept Plant
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WHY PRE-CONCENTRATE?
The Resource
• Grades
– Change in resource type
– Resource grades over time
– ROM dilution due to:
Narrow seams
Mining efficiency
Mechanised mining - wider stoping
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WHY PRE-CONCENTRATE?
The Costs
• Utilities
– Efficiency
– Demand / Finer grinds
– Developing countries
– MAJOR cost for comminution
– Disproportional inflation
128
82.29
225
-5.49
9.14 1.46 0.85
55.47
38.40
111
0
50
100
150
200
250
In-situ Drill & Blast Load-Haul-Dump Crush Screen SAG Mill Ball Mill Total Energy
Ene
rgy
Inte
nsi
ty (
kWh
/oz)
Energy Intensity per unit Metal
Current Circuit
Circuit with Upgraded Feed
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WHY PRE-CONCENTRATE?
The PGM Industry Over the Last 6 Years
R/$:
+40%
6y of Mining
Inflation:
+50 to +70%
(CPI: +40%)
10-30% profit in 2009 just
to break even in 2015
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• Operations:
“Mill the ounces, not the waste”
Lower unit metal cost
Efficiency, flexibility
Waste dilution reversed
Milling efficiency
Flotation recovery
• Projects:
– Waste removal can:
Decrease CAPEX (smaller plants)
Optimise strategy (multiple mines, 1 plant)
Turn a non-starter into a viable project
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WHY PRE-CONCENTRATE?
The Bigger Picture
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CONTENTS
• Ore Pre-Concentration
• Sorting Technology
• XRF sorters
• Test Work
• Proof of Concept Plant
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SORTING TECHNOLOGY
Overview
• Ore must be amenable to sorting
– Macro-liberation
– Measurement
• Not new
– As old as mining itself
– Technology is making sorting more widespread
– Driven by demand for resource
• Scale is important!
Selectivity
Throughput
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SORTING TECHNOLOGY
Anglo American Work on ROM Upgrading
• 2000 – 2005:
– AAP – First work on sorting
– Commodas MicroSort plant built
oOptical measurement, light sensitive
oHigh maintenance air pulse ejection
• 2010 – present:
– AA Research – detailed evaluation and
comparison of various analysers; ongoing
– AAP / Rados collaboration – Mintek programme
o Tested on all AAP ore sources
o Successfully upgraded MicroSort waste
o Proof of Concept plant at Mogalakwena
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CONTENTS
• Ore Pre-Concentration
• Sorting Technology
• XRF sorters
• Test Work
• Proof of Concept Plant
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XRF SORTING
The Theory
• Deciding what to measure
– Concentrations
– Accuracy
• Proxy Measurement
– Cu, Ni and Cr
– Correlation?
• Surface measurement
– Representative of the whole
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CONTENTS
• Ore Pre-Concentration
• Sorting Technology
• XRF sorters
• Test Work
• Proof of Concept Plant
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MINTEK TEST WORK
Full Scale Batches
• Measurement: XRF vs Assay
– Rocks vs briquettes; XRF validated
• Grade vs Recovery test work
– Repeat at different thresholds
– 3 size fractions investigated:
+30-50mm, +50-100mm and +100-150mm
– ADJUSTABLE operating point
• Lab success across the group, except Unki:
Platreef
Merensky
UG2
Waste
MSZ (Unki)
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CONTENTS
• Ore Pre-Concentration
• Sorting Technology
• XRF sorters
• Test Work
• Proof of Concept Plant
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PROOF OF CONCEPT PLANT
4 Sorters Treating 30ktpm
• Objectives:
– Profitable applied research
– Verify Mintek Results
– Validate process design parameters
– Quantify maintenance aspects
• Plant Operation:
– Adjustable discard grade (Cu-Ni threshold)
– Ties in with existing contract crusher
– Set up to treat batched strategic stockpiles
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PROOF OF CONCEPT PLANT
First Results
• Key Performance Indicator:
– Discard grade <0.5g/t
– Controlled by fixed Cu threshold
• Sample vs Actual:
– PGM : Cu ratio is ~2.4x higher
– PGM “payload” is higher with measured Cu
0.5
1.0
0
0.5
1
1.5
2
2.5
Daily Results: Discard 4E (g/t)
4E_CAV G/T TAIL
Tail Target
Disc Avg
10.8
24.4
0.0
10.0
20.0
30.0
40.0
50.0
60.0
Daily Results: 4E / Cu ratio
Discard
4E/Cu Mintek
4E/Cu avg
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PROOF OF CONCEPT PLANT
Comparison against Mintek report
0.57
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
00.5
11.5
22.5
33.5
44.5
55.5
66.5
77.5
88.5
99.510
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
PG
M R
eco
very
to
Co
nce
ntr
ate
(%)
Gra
de
(2P
GE+
Au
g/t
)
Concentrate Mass (%)
Mintek Platreef -150+30mm Data (lines) vs Daily Assay Data (circles)
Mintek Conc Grade Mintek Discard Grade MOSP Disc Grade
MOSP Conc Grade Mintek PGM Recovery MOSP PGM Recovery
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PROOF OF CONCEPT PLANT
Upgrade Modelling (ore type and setup dependent)
y = 0.9151x-1.238
R² = 0.9327
y = 1.1389x-1.984
R² = 1
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%
90.0%
100.0%
1 1.2 1.4 1.6 1.8
Enrichment Ratio vs Mass Yield
MOSP Model
Mintek Model
y = 0.5236x0.26
R² = 0.2965
0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%
90.0%
0.00 1.00 2.00 3.00 4.00 5.00
Mass Yield as a function of Head Grade
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PROOF OF CONCEPT PLANT
Next Focus Area: Stockpile Re-mining
0
50,000,000
100,000,000
150,000,000
200,000,000
250,000,000
300,000,000
350,000,000
400,000,000
450,000,000
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30
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Stockpile Status - Level 1
HGO - S/P MGO - S/P LGO - S/P VLGO - S/P
HGO
MGO
LGO
VLGO
Waste
Plant Feed
Stockpiled
Stockpiled
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CONCLUSION
Anglo American Platinum have effectively converted
lab scale batch test success into profitable applied
research in a Proof-of-Concept sorting plant at
Mogalakwena.
The technology promises to bring a step-change to
an industry in desperate need of radical intervention
to return the majority of operations to profitability.