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Stefano Travaglione Carsten Laukamp, Maarten Haest, 27 April 2010 HYPERSPECTRAL ANALYSIS of Channel Iron Deposits ( CID )

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Presentation on theme: "Stefano Travaglione Carsten Laukamp, Maarten Haest, 27 April 2010 HYPERSPECTRAL ANALYSIS of Channel Iron Deposits ( CID )"— Presentation transcript:

1 Stefano Travaglione Carsten Laukamp, Maarten Haest, 27 April 2010 HYPERSPECTRAL ANALYSIS of Channel Iron Deposits ( CID )

2 CSIRO. AIM OF THIS STUDY integration of hyperspectral and geochemical datasets to improve the existent 3D model of the Rocklea Dome CID The aims of this project are: validation of CSIRO's hyperspectral algorithms using The Spectral Geologist Software, through analysis of drill core logs and geochemical data; delineation of the main ore zones of the Rocklea Dome CID and surrounding low grade, clay-rich zones;

3 CSIRO. HYLOGGER TECHNOLOGY OF DRILL CORES CSIRO. Wavelength (nm) Refl. VNIRSWIR

4 CSIRO. HYPERSPECTRAL MINERAL PRODUCTS CSIRO. Wavelength (nm) Reflectance R max 776 R min 1050 R max 776/R min 1050 ~ Fe-oxide abundance Wavelength position of R min 900 ~ goethite - hematite D D2200 ~ Kaolin, W-mica & Al-smect. abundance 2160/2350 features ~ Kaolin, W-mica & Al-smect. presence Depth D900

5 CSIRO. THE ROKLEA DOME Hamersley basin N ‘Mafic’ rocks ‘Felsic’ rocks Channel Granite Dome

6 CSIRO. C.I.D. 1-SEDIMENTATION 2-COATING 3-REPLACEMENT4-DISSOLUTION IRON ENRICHMENT

7 SAMPLES ANALYZED km N DATASET: 450 rock chip (rkc) ( hyperspectrally 1 m interval) 5 diamond cores in particular will be shown in this presentation (5,6,7,8,9) 14 diamond cores (RKD) (hyperspectrally 8 mm interval)

8 HYPERSPECTRAL DRILL CORE DATA with TSG TM SOFTWARE fdgegggerggre Kaolinite abundance Kaolinite composition High Kaolinite Hematite-Goethite distribution Al-Smectite abundance Al-Smectite composition Al-poorAl-rich fdgegggerggre Low Fe-Oxide Ferric oxide abundance fdgegggerggre Hem.-rich Goe-rich Low Al-Smectite poorlywellordered High Al-Smectite

9 CSIRO. RKD 5 details Depth (m)

10 HYPERSPECTRAL DATA CORRELATION fdgegggerggre Matrix Geochemical data Al-Smectite abundance Al-Smectite composition Al-poorAl-rich fdgegggerggre Fe % Kaolin Goethite Hardness Ferric oxide abundance fdgegggerggre Ooid %

11 CSIRO. Fe 51 % Fe 20 % H = HIGH, M =MIDDLE, L = LOW K = L Al-Smectite = L K = L Al-Smectite = L K = L Al-Smectite = H K = M Al-Smectite = L K = L Al-Smectite = L K = L Al-Smectite = H K = M Al-Smectite = H K = H Al-Smectite = L 1 2 3

12 CSIRO. RKD 5 zones

13 CSIRO KaolFe-ox KaolFe-ox KaolFe-ox KaolFe-ox KaolFe-ox surface Fe 51 % Fe20 % Fe = H K = L Al-Smectite = L Fe = M K = L Al-Smectite = L Fe = M K = L Al-Smectite = H Fe = M K = M Al-Smectite = L Fe = L K = L Al-Smectite = L Fe = L K = L Al-Smectite = H Fe = L K = M Al-Smectite = H Fe = L K = H Al-Smectite = L eastwest

14 VIEW Spectral derived Kaolin and Al-smectite, relative to the 50 % Fe wireframe derived from geochemical data 50% Fe Al-smectite shell Kaolin shell 3D model

15 CSIRO. CONCLUSION Hyperspectral and geochemical datasets have been integrated to improve the existent 3D model of the Rocklea Dome CID This study validated CSIRO's hyperspectral algorithms using The Spectral Geologist Software, through analysis of drill core logs and geochemical data Hyperspectral data greatly improved our understanding of the geometry of the Rocklea Dome CID, by delineating the major ore zone and contaminants (e.g. clay minerals) The iron oxide abundance scripts generally correlate with the geochemical data

16 CSIRO. PLANNED STUDIES - Validation of the TSG Software also through the correlation among results obtained from XRD and thin section analysis; - validate and improve the mineral mapping scripts that can later on be used on other deposit styles, where the abundance and composition of iron oxides and clay minerals are of interest; - contribute to linking subsurface mineralogy with surface mineral maps derived from airborne hyperspectral data. - improve understanding of the genesis of the Rocklea Dome CID through the thin section analysis;


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