Lecture 4-5 MetE 197
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Transcript of Lecture 4-5 MetE 197
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Lecture No. 4
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Average grade, % Value per ton ore
Metal Price US$ Price/ton Low High Low High
Gold 1,600/oz. $51.4M 0.0003 0.0008 154.2 411.2
Silver 27/oz. $0.87M 0.0015 0.003 13.05 26.1
Copper 3.50/lb $7,700 0.5 2 38.5 154.0
Nickel 7.50/lb $16,500 0.8 3 132 495.0
Zinc 0.85/lb $1,900 1.5 10 28.5 190.0
Iron ore 2.1/unit $135 50 65 67.5 87.8
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Future price of metals Most sensitive and most important factor in
valuation of a project Prices depend on international market No control Hedging can mitigate some price variations
but at a cost Law of supply and demand
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Supply
Scarcity of commodity
Industry structure
Timing of supply response to varying demand
Demand
Development of economies Economic growth
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Forecasting world’s future supply anddemand for a commodity
Movement in inventory levels For resource projects – a cut-off grade is
applied based on economics Mining operations produce less metal as price
increases When prices fall, mining companies produce
more metal to compensate
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Production capacities For base metals (Cu, Zn, Pb) – consider
mining AND smelting capacities Russia and China – reliability of production
figures Secondary scrap supply – recylcing Mines – finite reserves
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Correlation with industrial production Increase in manufacturing results in increased
demand for metals
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Stock to demand (liquidity) ratio rises – copper price decreases
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Lecture No. 5
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Exploration – deals with techniques to find amineral prospect
Reserves – methodologies used to determinethe amount of minerals that can beeconomically recovered
Classification of reserves and resources –
standards for defining the differencesbetween a resource and reserve as set byorganizations – Philippine Mineral ReportingCode
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Mining production -methods for extractionof near-surface and deeper mineral deposits
Mineral Processing – processes undertakenfor concentration of the ore to reduce thetonnage for transport to refineries
Infrastructure – mine and mineral processingplant and auxiliary facilities
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Refining – recovery of metals from themineral concentrates – by use of heat
(pyrometallurgy, smelting) or dissolution(hydrometallurgy, leaching) to produce afinished product
Marketing – selling of the final product and itsrole in the viability of the project
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1st and often most critical stage Hardest assessment due to lack of “hard”
data Value-added component can be many times
the initial value of the exploration company
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Review of existing literatures MGB files
Generally available information Known economic occurrences located nearby Identify rock types in the area Aerial photographic images Satellite imagery
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To locate some form of anomaly Magnetic – related to the amount of
magnetic minerals Gravimetric – variations in the gravity field,
which is related to rock density Radioactive – gamma radiations to locate
radioactive elements
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Electrical and electromagnetic methods – used to map variations in electrical
conductivity. Metallic rocks are goodconductors. Geochemistry – make up of soil and rocks to
identify abnormal chemical patterns. Metalions have migrated to the surface throughweathering and erosion
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Portion of the orebody that is above thewater table.
Water is source of oxygen – oxidizes themetals Lower in specific gravity Softer Water becomes acidic and further oxides the
ore
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Primary ore metals – stable in anaerobic dryenvironments
Acid water – rich in dissolved metals, maymove down through the oxide zone Deposit the metals in a high grade zone
called the supergene zone Cu – chalcocite, bornite Pb – supergene galena Ni – violarite, Zn: supergene sphalerite
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Exploration drilling – done on areas identifiedby airborne and surface reconnaissance
Rotary air blast – cheapest but least accurate Reverse circulation - drill cuttings are forced
up the hollow center of the drill bycompressed air
Diamond drill core – rock is cut like a cylinderto produce a “core”
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HoleNum-
ber
North-ing
East-ing
Inter-val fr-
to, m
Inter-cept,
m
Grade(units/
mt)10500 10000 500 50-65 15 4.5
10600 10000 600 55-62 7 3.8
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Airborne geophysics
Satelllite imagery
Ground geophysics
Soil geochemistry
Rock, RC sample or
core assays
$25/km aeromagnetics $125/km gravity
$25-50/sq. km
$50-20000/km
$20/sample
$20/sample
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Air photointerpretation
RAB drilling
RC drilling
Diamond core drilling
$200-500/ sq. km
$20-25/m
$50-100/m
$100-200/m
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Grade Continuity of the deposit
Confidence level increase with no. of datapoints Varies greatly with type of ore deposit and
grade
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Figure 5.4
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Figure 5.5
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Hole # Northing Easting Interval Intercept Grade
Met-25 10000 500 50-60 10 4.5
Met-26 10200 600 53-62 7 3.8
Met -27 10200 700 55-60 5 3.1
Met-1575 10150 750 58-64 6 3.2
Met-15 10100 500 60-66 6 3.0
Met-16 10100 600 63-69 6 3.1
Met-17 10100 700 66-70 4 2.9
Met-05 10000 500 69-72 3 2.8
Met-06 10000 600 71-73 2 2.5
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500 600 700 800
10200 • • •
•
10100 • • •
10000 • •
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Volume x specific gravity Holes are 100m apart, area is 100 x 100 m.
Met-16: 100 x 100 x 6 = 60,000 cu. M.
Tonnage = 60,000 cu.m x 2.5 = 150,000 MT
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Hole # Area volume Tonnage Grade Metalcontent
Met-25 10000 100000 250,000 4.5 1,125
Met-26 10000 70000 175,000 3.8 665
Met -27 10000 50000 125,000 3.1 387.5
Met-1575 7500 38000 190,000 3.2 608
Met-15 10000 60000 150,000 3.0 450
Met-16 10000 60000 150,000 3.1 465
Met-17 10000 40000 100,000 2.9 290Met-05 10000 30000 65,000 2.8 182
Met-06 10000 20000 50,000 2.5 125
TOTAL 87,500 468,000 1,255,000 4,297.5
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500 600 700 800
10200 • • •
•
10100 • • •
10000 • •
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500 600 700 800
10200 • • •
• 10100 • • •
10000 • •
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Ave value of each of the nearby holes – usedin determining the grade
Weighted average grade– function ofdistance Linear weighing Square or cube of the inverse – lower
confidence for points further Procedure to select non-linear weighing –
Kriging, (Danile Krige)
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Generate a semi-variogram – graphicallydepicts the spatial relationship between
points Calculating the average squared difference
between any two points over a specificdistance
Relationship is considered over a specificdirections
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Simultaneous calculations (kriging) For a selected block – distance to each
exploration hole within the range iscalculated A value is determined from the semi-
variogram model A set of simultaneous equations is solved that
determines a set of weighing factors to beapplied which minimizes the statistical error
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Weighing factors add up to 1 A measure of the statistical error can be
generated
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Back-testing and ore reserves To check the validity and optimise the model,
krige a data point – compare with actualvalue Ore blocks are kriged and total ore reserves
calculted Account for the geology of the rock Several kriging procedures have been
developed