Transcript REAL-TIME IMAGE ANALYSIS OF IRON ORE CORES AND DRILL CHIPS TO COMPLEMENT SPECTRAL MEASURES Thomas BELLIGOÏ Erick RAMANAIDOU & Eric PIRARD IRON OREPERTH.

REAL-TIME IMAGE ANALYSIS OF IRON ORE
CORES AND DRILL CHIPS
TO COMPLEMENT SPECTRAL MEASURES
Thomas BELLIGOÏ
Erick RAMANAIDOU
& Eric PIRARD
IRON
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PERTH
About Liege
• Liege City
– The cradle of coal mining, steelmaking and zinc metallurgy in Europe...
• Liege University
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A major research partner in Belgium
4000 researchers; 1800 PhD students
500+ professors
Large network of spin off companies ( > 70)
About Us
– GeMMe
• Minerals Engineering, Materials & Environment
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3 research units; 40+ researchers
» Building materials
» Minerals engineering & recycling
» Georesources & Geo-Imaging
GeMMe operates on the characterization,
valorization, transformation, use and
recycling of mineral materials at any stage of
their life cycle.
Synopsis
• Geometallurgy
• Core Scanning
– RGB Imaging
– µSpectral Imaging
• Chips Scanning
– 2D
– 3D
• Conclusions
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Exploration Geology
• Needs for Computer Aided Perception
– Seeing beyond human vision
• Spectral sensing of molecules (IR, Raman,…)
• Spectral sensing of elements (XRF, LIBS, …)
– Measuring beyond human capabilities
• Modal analysis of minerals
• Textural information
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Geometallurgy
– In Situ Mapping
• Field work
• Core / Chips scanning
• Spatial Inference (Geostatistics)
– Prediction of Ore Performance
• Modal analysis of minerals
• Porosity
• Textural information
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Crystal size
Fracturation
Banding
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Core Scanning
• Spectral sensing
– HyLogger
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Huntington et al., 2006
Core Scanning
• Spectral sensing
– HyLogger
• RGB imaging
– Dalsa 3CCD Linear
• Calibrated colour
– Basler 1CCD Area
• JPG archive
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– Resolution 120µm
– Compressed tints
– Non-uniform illumination
Core Scanning
• Spectral sensing
– HyLogger
• RGB imaging
– Dalsa 3CCD
– Basler 1CCD
• µSpectral imaging
– SiSuCheMa
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• 239 bands
• 1100 nm -2500 nm
• 30 µm resolution
Core Image Analysis
• RGB imaging
Marra Mamba
Unsupervised
• µSpectral imaging
a) ISODATA (4 clusters)
b) Max Likelihood
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Unsupervised
Supervised
Supervised
Drill Chips Scanning
• 2D Particle Sizing
– Occhio Zephyr
• 50 µm  3 mm
• Backlighting
– 390 nm
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At line imaging
No sample preparation
Drill Chips Scanning
• 2D Particle Sizing
– Occhio Zephyr
• 50 µm  3 mm
• Backlighting
– 390 nm
• 3D Particle Sizing
– MiCa Prototype
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• 50 µm  3 mm
• Laser
– 671 nm
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At line imaging
No sample preparation
Drill Chips Image Analysis
• 3D Particle Size & Shape
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El ~=0.4 / Fl~=0.25
El ~=0.3 / Fl~=0.15
Conclusions & Perspectives
– Imaging
• is essential to gain more pertinent data
for a geometallurgical evaluation of the deposit
– Selected spectral band imaging
• has to be developed for ideal sensing
of mineral/lithological mapping
– 3D scanning of chips
• delivers interesting geotechnical information
– Techniques need to be optimized
• for real-time use in exploration
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Thank You
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