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2b. Classical Ore Reserves Methodsss

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(1)

CLASSICAL ORE RESERVES

CLASSICAL ORE RESERVES

ESTIMATION METHODS

ESTIMATION METHODS

GE

GEOS

OSTA

TATI

TIST

STIC

ICS

S CO

COUR

URSE

SE

Dr. Arifudin Idrus Dr. Arifudin Idrus

Department of Geological Engineering

Department of Geological Engineering

Gadjah Mada University

Gadjah Mada University

E-mail: [email protected]

(2)

Definition of terms

Definition of terms

 Global reservesGlobal reserves

refers to the mean grade of the reserves to refers to the mean grade of the reserves to be mined over the life time of the mine.

be mined over the life time of the mine.

 Local reservesLocal reserves

refers to the mean grade of reserves to be refers to the mean grade of reserves to be mined over short time

mined over short time increaments eg. yearincreaments eg. year by year.

by year.

Local ore reserves are used to

Local ore reserves are used to produce theproduce the mining schedule.

(3)

Definition of terms

Definition of terms

 Global reservesGlobal reserves

refers to the mean grade of the reserves to refers to the mean grade of the reserves to be mined over the life time of the mine.

be mined over the life time of the mine.

 Local reservesLocal reserves

refers to the mean grade of reserves to be refers to the mean grade of reserves to be mined over short time

mined over short time increaments eg. yearincreaments eg. year by year.

by year.

Local ore reserves are used to

Local ore reserves are used to produce theproduce the mining schedule.

(4)

Definition of terms

Definition of terms

 ResourcesResources

usually based on

usually based on geological interpretationgeological interpretation only. Mining parameters have not (or only only. Mining parameters have not (or only partly) applied.

partly) applied.

 ReservesReserves

incorporate all aspect of the impact of incorporate all aspect of the impact of mining on the

mining on the geological interpretageological interpretation,tion, especially ore loss and dilution.

(5)

Requirements of an ore reserve

Requirements of an ore reserve

method

method

On

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predictors.

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(6)

 They should be robust. The method should yield the correct answer over a wide renge of data and should not be such that small changes in the data can yield

On the philosophical side

.

 They should be understandable. If the method cannot understand what is happening then this can create uneasiness with the method and result in uncertainly.

 They should de defendable when confronted by peers. Or reserve calculation must be defendable with conviction.

(7)

 They should be consistent with the data density. If   only limited data is available the method should reflect this.

 They must reflect themining method realistically.

 “It is only in comics and films that superman mines

On the philosophical side

ore o es

Most orebodies are mined by mortals.

(8)

On the practical side the computations should be:

1. Rapid 2. Reliable

3. Easily checked

The reliability of reserve computations depends

on:- The accuracy and completeness of our knowledge of the orebody under study.

 The data density and reliability of the base data.

 The assumptions for interpreting the variables under study.

 The relevance of the mathematical methodology used.

(9)

Selecting an Ore Reserve Method depends

on:- The geology of the mineral deposit.

 The densit of data.

 The purpose of computations.

(10)

At the mine design stage

More complete calculations are required. (Global Estimates)

More complete calculations are required. (Local Estimates)

(11)

Types of Ore Reserve Method

Classical method.

(12)

CLASSICAL ORE RESERVE METHODS

In carrying out classical ore reserve calculations we work from the highest data density to the least data density.

Consider an orebody drilled on section. The

sectional data is densest. The interpretation should be carried out on section first.

All methods are based on computing solids with their bases in the plane.

(13)

For sectional data

(and vertical longitudinal sections)

 Interpret data in the plane of the section.

 Measure the area in the plane.

 Use a horizontal distance for extending to a volume.

(14)

For plan data

1. Interpret data in he plane of the plan. 2. Measure are in plan.

3. Use a vertical distance for extendig to a volume.

Often the vertical distance is the bench height.

Often ore reserves are calculated by generating longitudinal sections in the plane of the dip of the mineral body.

(15)

For inclined longitudinal sections

 interpret data in the plane of the sections.

 use true thickness for he inclined plane.

Generally in reserve calculations the true strike and true

If data in not presented with true dip and strike it needs to be corrected to allow for this. This is achieved by carrying out geometrical corrections.

All ore reserve methods involve.

1. Weighting data (ie. Weighting assay data). 2. Extending data to obtain volume.

(16)

VOLUME CALCULATONS

1. Trapezoidal rules

The trapezoidal rule – assumes the area consists of a sequence of trapezoids a1 a2 a3 a5 a4 h Area = a7 a6 a8 a10 a9

+

+

2 2 3 2 2 1

Where the area of a simple trapezoid is

(

)

2 h b a S 

=

+

(17)

2. Simpsons rule

Assumes the boundaries of each strip are best represented by parabolas passing through

consecutive points. Area =

Volume calculations

Volume = Area x thickness.

(

a odd  even an

)

h + 2

+ 4

+ 3

1

(18)

Tonnage Calculations

Tonnes = area x thickness x tonnage factors.

This is an improtant factor in the calculation

of tonnage.

(19)

WEIGHTING OF DATA

This is done by various methods

including:-

Simple arithmetic methods.

Weighting by width or thickness, length,

area, specific gravity.

(20)

1. Simple Arithmetic Methods mean =

n

 g 

 g 

 g 

 g 

1

+

2

+

3

+

n

Some weighting examples to calculate the mean grade.

Assumption all blocks are equal.

2. Thickness weighted

All blocks are equal in area and have the same SG. mean = n n n t  t  t  t   g  t   g  t   g  t   g  t  ... ... 3 2 1 3 3 2 2 1 1 + + + + + +

(21)

3. Area weighted

All blocks have constant thickness and weight factor but different area.

mean = n n g   A  g   A  g   A  g   A ... 3 3 2 2 1 1 + + + 4. Volume weighted

The assumption here is that all blocks have SG. mean = n  A  A  A  A1 + 2 + 3 +... n n n V  V  V  V   g  V   g  V   g  V   g  V 

+

+

+

+

+

+

3 2 1 3 3 2 2 1 1 ...

(22)

5. Tonnage weighted

the assumption is that the tonnage and grade of blocks are different.

mean = n n n

 g 

 g 

 g 

 g 

+

+

+

+

+

+

3 2 1 3 3 2 2 1 1 ...

(23)

CASE 1A

An averaging method (simplest case)

Consider a plan view of 14 drillholes

7 8 6 4 5 10 11 12 13 14 9

(24)

Drillhole Thickness Grade 1 t1 g1 2 t2 g2 3 t3 g3 4 t4 g4 . . .

Measure the area A Then tonnes = t A SG grade = G . . . . . . 14 t14 g14 14

= t i t  14

=  g i G

In this calculation thickness is not considered important

This method is accurate in uniform deposits, where there is a very small

(25)

CASE 1B

 Consider the previous example of the 14 drillholes. In the folowing calculation it is

Drillhole Thickness Grade Product

1 t1 g1 t1g1

2 t2 g2 t2g2

3 t3 g3 t3g3

thickness varies from point to point.  An average method (thickness weighting). 4 g4 4g . . . . . . . . . . . . 14 t14 g14 t14g14 Σti Σtigi

(26)

Average grade

=

i i i

 g 

G

Tonnes are calculated by using local thickness. If the blocks are all the same area, and only the thickness changes, then

Tonnes = A [t

1

+ t

2

+ … t

14

] SG

(27)

A PLAN METHOD USING POLYGONS

Drillhole

Area of influence polygon boundary

Ore zone limit

Line segment between

drillholes (construction aid)

If the polygons have different tonnages. Then use a tonnage weighted method.

(28)

CROSS SECTIONAL METHODS

The orebody is devided into geological section along the lines of drilling. Two methods are used.

 .

 A step change.

In plan

(29)

b. Step change

The calculation of volumes may use the following formulae. (1) End Area Formula

 L  A  A V            + = 2 2 1  L  A  A V  =   1 + 2 

For several sections

(2) Wedge Formula – where one end tapers to a line.

2 ... 2 2 3 2 1  L  A  A  A  A V  n           + + + =  L  A V  2 =

(3) Cone formula – where where one and tapers to a cone  L  A V  3

=

(30)

(4) The frustum formula

Note

The frustum formula is inaccurate in wedge

like orebodies 1 A2

L

(

1 2 1 2

)

3

 A

 A

 A

 A

 L

(31)

(5) The prismoidal formula

(

)

6 4 2 1

 L

 A

 A

 A

=

+

m

+

This is better for ore bodies which pinch and swell. Am = mean area between section i.e., auxiliary.

(32)

COUNTOURING METHODS

(Isoline methods)

Contours are curved lines which join all

points of equal value.

Data is used to construct contours by

interpolation

between

point

of

known

values. Various techniques of interpolating

data may be used. (Specific techniques of 

interpolation are discussed later).

(33)

Contouring method

As an example of the

interpolation technique consider the method of finding the

volume of the following:-The volume is calculated by measurin each area within the

Section

contour interval and using

volume calculation procedures previously discussed.

The average ore grade can be computed by constructing

contour maps and by weighting each area by its contour grade.

(34)

To achieve this use

2 1

0

0 2 2 ...

2  A  A  A  A

 g   g   g  n           + + + + =

Contouring method

where go is the minimum grade of the ore

* g is the constant grade interval between contours * Ao is the area of the body with grade go plus g and

higher

* A1 area of orebody with grade go plus g and higher

* A2 area of the orebody with grade go plus 2g and higher etc

(35)

The method reqiures data which has 1. A sufficient number of dat.

2. Appropriate data density

3. Appropriate distribution of data.

Contouring method

When data is unvenly distributed there can be problems. (These problems will be discussed later).

The map produced shows the areas of rich and poor ore.

(36)

Contouring method

As an example consider the data ( ) ( ) ( ) 0 32 31 22 21 1 0 0 0 2 2 2  A  A  A  A  A  A  A  g  a  g  G + + + + + + = A2 A3 A3 g1 A0 g0 g2 g3 g3 A2 1 1 2 2

(37)

The method of contouring should be used only in deposits of orderly changing thickness and grade.

It is not useful in very complex, discontinous

Contouring method

orebodies.

It is partucularly useful in orebodies where

thickness and grade decrease from the centre to the periphery

(38)

THE METHOD OF POLYGONS

In this method all factors determined for a certain point of a minerals body extend half way to the adjoining and surrounding points forming an area of influence.

(39)

2. Stagged drillholes (face centered)

(40)

A note on the use of the FRUSTUM FORMULA

A1 = area M1 = metal = grade x area A2 = area M2 = metal = grade x area The volume is

(

 A1  A2  A1A2

)

 L

V  = + + For the prismoidal method

The metal

(

1 2 1 2

)

3 1  M   M   M   M   M = + + v m G =

(

1 4 2 3

)

6

 A

 A

 A

=

+

+

(

1 2 3

)

6 1  M   M   M   M 

=

+

+

V   M  G = Then

(41)

EXAMPLE OF POLYGONAL ORE RESERVES

The area of influence method of calculating ore reserves is as following:

1. Difine for each drillhole, a boundary enclosing the area closest to that drillhole. This is done by constructing lines which are

-to the line segment between the two drillhole location points. 2. Each area so defined is treated as a polygon of constant grade

and thickness, ie. The grade and thickness of the single drillhole inside the polygon.

3. The reserves are determined simply by adding the tonnes and metal derived for each polygon.

(42)

Drillhole

Area of influence Polygon boundary This method is ussualy applied on a plan basis as shown below:

Ore zone limit

Line segment between

(43)

In some instances, the same method may be apllied on a cross Sectional basis. Each polygon is assigned the average grade Of samples inside the polygon. The polygon thickness is the Cross-section width (ie. Mid-way to adjoining section).

EXAMPLE OF POLYGONAL ORE RESERVE

Area of influence Polygon boundary Ore zona limit

(44)

INVERSE DISTANCED METHODS

Consider the problem of estimating the grade of a block from the surrounding data.

Eg.

(45)

Ore method of solving this problem is to use a method based on the distance of the samples from the block.

The most common distance weighted methods

INVERSE DISTANCED METHODS

are:-1.Inverse distance.

2.Inverse distance squared. 3.Inverse distance cubed.

The following examples show the application of these techniques.

(46)

The general formulae

Inverse Distance n n  g  d   g  d   g  d  G 1 ... 1 1 1 ... 1 1 2 2 1 1 + + + + =

Inverse Distance cubed

3 2 3 2 1 3 1 1 1 1 1 ... 1 1 n n  g  d   g  d   g  d  G + + =

Inverse Distance Squared

n 2 1 2 2 2 2 1 2 2 2 2 1 2 1 1 ... 1 1 1 ... 1 1 n n n d  d  d   g  d   g  d   g  d  G + + + + = 3 3 2 3 1 ... n d  d  d  + +

(47)

 λi

=

d −i r  n −

( )

 x

i

 Z 

 Z 

n i V 

=

λ 

*

Estimation of block grade:

Where:

INVERSE DISTANCED METHODS

i=1 n  λi

=

1 i= 1i n=1

(48)

Example-Inverse distanced square (IDS) 0,48% 0,64% 0,69% d4=78m d3=66m 0,43% 0,75% 0,53% d5=92m d6=64m d2=52m d1=32m

References

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