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The role of mafic rocks in the genesis of IOCG and Base ... fileppredictiveredictiveredictive...

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pmd CRC The Genesis and Exploration Potential of IOCG and Base Metal deposits, Eastern Succession, Mount Isa Inlier The Genesis and Exploration Potential of The Genesis and Exploration Potential of IOCG and Base Metal deposits, Eastern IOCG and Base Metal deposits, Eastern Succession, Mount Succession, Mount Isa Isa Inlier Inlier Kris Butera pmd CRC
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The Genesis and Exploration Potential of IOCG and Base Metal deposits, Eastern

Succession, Mount Isa Inlier

The Genesis and Exploration Potential of The Genesis and Exploration Potential of IOCG and Base Metal deposits, Eastern IOCG and Base Metal deposits, Eastern

Succession, Mount Succession, Mount IsaIsa InlierInlier

Kris Butera

pmd CRC

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The Genesis and Exploration Potential of IOCG and The Genesis and Exploration Potential of IOCG and Base Metal deposits, Eastern Succession, Mount Base Metal deposits, Eastern Succession, Mount IsaIsa

InlierInlier

•• Study AreaStudy Area•• Mafic RocksMafic Rocks•• Spatial and Process Spatial and Process

Relationships of Relationships of MaficsMafics and and MineralisationMineralisation

•• IOCG Deposit ModelsIOCG Deposit Models•• Exploration PotentialExploration Potential

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Study AreaStudy Area

Blue – Mafics, Green – Mineral Dep, Red - Granites

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pmd CRCMafic Rocks Mafic Rocks -- GeochemistryGeochemistry

Zr/Nb vs Y/Nb Mt. Isa Eastern Succession Amphibolites vs Global Data (Literature)

0

2

4

6

8

10

12

14

16

18

20

0 5 10 15 20 25 30 35 40 45 50 55

Zr/Nb

Y/N

b

N-MORB

P-MORB Average Mount Isa Eastern Succession Amphibolites

South Atlantic P-MORB to N-MORB TransitionAfter Humphries et al (1985), Wilson (1995)

Global Continental Back Arc Basin Basalts

Global OceanicBack Arc Basin Basalts

Continental Flood basalts

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Fractal AnalysisFractal Analysis

Fractal Analysis of the spatial Fractal Analysis of the spatial distribution of Mafic Rocks and distribution of Mafic Rocks and all Mineral Deposits was all Mineral Deposits was performed over the study areaperformed over the study area

••The fractal dimensions of The fractal dimensions of mineral deposits and mineral deposits and maficsmaficsover the study area are the over the study area are the same within error.same within error.

•• This is strongly permissive of This is strongly permissive of a genetic relationship between a genetic relationship between maficsmafics and mineralisationand mineralisation

Regression Limits (km)

Number (Deposits)

Fractal Dimension

Standard Error

Correlation Coefficient

Min Max N D E R

Mafics 8.53 34.2 - 1.43 0.0357 0.997221Deposits 8.53 34.2 240 1.43 0.0468 0.99523

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Weights of EvidenceWeights of Evidence

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pmd CRCThe IOCG Family The IOCG Family -- MaficsMafics and Faultsand Faults

Faults that intersect 1km buffers of mafic dykes:

(29 Ironoxide Cu Au Deposits)

0-250m

Contrast = 7.78

Confidence = 18.73

n = 8

Yellow = mafics,Red Stars = IOCG Deposits,Green Lines = Faults

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pmd CRCSpatial Distributions & The Process LinkSpatial Distributions & The Process Link

Fractal Analysis and Weights of Evidence of the spatial distribuFractal Analysis and Weights of Evidence of the spatial distribution of a tion of a number of rock, deposit and fault types is strongly permissive onumber of rock, deposit and fault types is strongly permissive of a f a

genetic relationship between IOCG and Base Metal mineralisation genetic relationship between IOCG and Base Metal mineralisation and and mafic rocks.mafic rocks.

•• Mafic rocks and mineral deposits share the same degree of clustMafic rocks and mineral deposits share the same degree of clustering ering –– their their fractal dimensions are the same within errorfractal dimensions are the same within error•• Mafic rocks show the strongest spatial relationship of all rockMafic rocks show the strongest spatial relationship of all rock types studied with types studied with All Deposits and Base Metal DepositsAll Deposits and Base Metal Deposits•• Mafic rocks also show a high correlation with IOCG and Larger DMafic rocks also show a high correlation with IOCG and Larger Depositseposits•• Faults that intersect areas of mafic rocks are excellent predicFaults that intersect areas of mafic rocks are excellent predictors of tors of IOCGsIOCGs

• Preliminary Petrographic and Geochemical studies indicate that sPreliminary Petrographic and Geochemical studies indicate that sulphur (in the ulphur (in the form of primary magmatic sulphides) is removed from the form of primary magmatic sulphides) is removed from the maficsmafics in areas of in areas of alteration (& alteration (& amphibolitisationamphibolitisation). These observations, in addition to the Spatial ). These observations, in addition to the Spatial Analysis, add creditability to the process model of Analysis, add creditability to the process model of

MaficsMafics as the source of Sulphur for ore deposits.as the source of Sulphur for ore deposits.

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pmd CRCSulphur AvailabilitySulphur Availability

Mass fraction calculations for Mass fraction calculations for sulphursulphur in all known deposits within the in all known deposits within the study area were compared to a number of calculations of study area were compared to a number of calculations of sulphursulphursequestering from of the sequestering from of the maficsmafics. This was used to test the notion that . This was used to test the notion that maficsmafics were the source of were the source of sulphursulphur for for mineralisationmineralisation

Total Mineralisation = 3.34Mt Cu (334Mt Ore @1%ave grade), RequiTotal Mineralisation = 3.34Mt Cu (334Mt Ore @1%ave grade), Requires ~ 6.5Mt Sulphurres ~ 6.5Mt Sulphur

Total Surface Area of Total Surface Area of MaficsMafics = 98sq km (average density ~2.8t/m= 98sq km (average density ~2.8t/m33))

Sulphur Availability @ initial S concentration at 100ppm, thicknSulphur Availability @ initial S concentration at 100ppm, thickness (depth) of mafic unit ess (depth) of mafic unit from which S extracted of 1000m, with a 30% extraction efficiencfrom which S extracted of 1000m, with a 30% extraction efficiency would yield ~y would yield ~ 8Mt Sulphur8Mt Sulphur(enough for mineralisation)(enough for mineralisation)

A more realistic calculation of 150ppm initial S, 7500m depth (SA more realistic calculation of 150ppm initial S, 7500m depth (Soldiers Cap group), 70% oldiers Cap group), 70% extraction efficiency =extraction efficiency = 216Mt Sulphur 216Mt Sulphur

*enough S to supply ~120Mt Cu or 12000Mt Ore @ 1%Average Cu (6kt*enough S to supply ~120Mt Cu or 12000Mt Ore @ 1%Average Cu (6kt Au @ 0.5g/t)Au @ 0.5g/t)

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pmd CRCSoil Geochemistry ObservationsSoil Geochemistry Observations

Mafic Dyke

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pmd CRCPreliminary IOCG Genesis ModelPreliminary IOCG Genesis Model

Mafics

Cu, Fe

S, Cu, Fe

Au

Major to Minor Fault

IOCG

Major D3 Fault

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pmd CRCPredictive Mineral Discovery:Predictive Mineral Discovery:

Exploration PhilosophyExploration Philosophy

Mineralisation PotentialMineralisation Potential

ααVolume of Volume of MaficsMafics + Plumbing System+ Plumbing System

OVER ANY GIVEN AREAOVER ANY GIVEN AREA

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Predictive Mineral Discovery:Predictive Mineral Discovery:Exploration PotentialExploration Potential

•• Calculations indicate that there is enough sulphur available Calculations indicate that there is enough sulphur available to supply ~12 Billion Tonnes of Oreto supply ~12 Billion Tonnes of Ore

•• Areas proximal to Areas proximal to MaficsMafics remain remain underexploredunderexplored

•• Exploration Potential =Exploration Potential = Very HighVery High

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pmd CRCPredictive Mineral Discovery: Exploration PotentialPredictive Mineral Discovery: Exploration Potential

Blue = Soil Geochem, Green = Rock Chip Geochem, Red = Mafics


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