Describe the process of exploration project to mining


NB: List and justify all your choices and assumptions.

1.    Describe the process of exploration project to mining operation with reference to the ore resource/reserve estimation process.

2.    What is meant by ore? What is meant by the term waste? What is proto ore?

3.    What is meant by core logging? Typically what parameters would typically be recorded when undertaking core logging? 

4.    What is meant by the popularly-used word transparency?

5.    Describe in detail an electrical exploration technique.

6.    What is reverse cycle drilling? How does it differ from normal drilling?

7.    What is meant by the following terms:

  • Range
  • Variance
  • Standard deviation
  • Kurtosis
  • Skewness

8.    Illustrate and discuss the effect of support on grade-tonnage relationships used to assess selective mining units.

9.    What are the rules regarding the reporting of exploration results?

10. Give three likely examples of support that might be used in a mining estimation, and explain how you would change from one to another.

11. Describe a polygonal estimation technique.

12. Give an explanation of why kriging techniques are preferable to other estimation methods.

13. Explain what a "competent" person means in the JORC. What qualifications do competent persons require?

 

14. Determine the variance for the grade data set in the following table

Sample Number

Grade Au g/tonne

1

4.6

2

7

3

2

4

1

5

5.3

6

6.5

7

8

8

21

9

0.2

10

3

 

15. What is meant by:

  • The lag
  • The geostatistical variance
  • The semi-variance
  • The semi-variogram
  • The sill
  • The Nugget effect
  • The range

16. Using the method of polygons, determine the average seam thickness and tonnage represented by the following information if coal weighs 0.9 tonne/m3. Note surface is flat and top of coal seam for all boreholes is intersected at the same depth.

Property Coordinates

East

North

1000

1000

7000

1000

1000

7000

7000

7000 

 

Drill hole data

Drill hole

Seam thickness (m)

East Coordinate

North Coordinate

1

5

2000

1000

2

4.5

4000

1000

3

3.5

6000

1000

4

4

1000

3000

5

5

3000

3000

6

3.9

5000

3000

7

3.7

7000

3000

8

4.5

2000

5000

9

4.6

4000

5000

10

4.8

6000

5000

11

3.9

1000

7000

12

5.6

3000

7000

13

2.9

5000

7000

14

2.8

7000

7000

 

17.    What characteristics of an ore body, besides grade, could or should be treated using geostatistical methods?

18.    Give definitions for the following:

- Break-even cut-off grade 

-Geological cut-off grade 

- Incremental cut-off grade 

- Marginal cut-off grade 

- Optimal cut-off grade 

- Resource/reserve cut-off grade 

- Run of mine cut-off grade 

19.    Define the various categories of reserves and resources that can be employed under JORC.

20.    Detail any special requirements for reporting nuggetty gold deposits within the JORC Code?

21.    How does the JORC code deal with stockpiles, low grade mineralisation and tailings?

22.    Why do you need a mathematical expression to represent the experimental variogram?

23.    What is meant by covariance?

24.    What type of information concerning the deposit is provided by a variogram?

25.    Use the method of polygons to determine the average ore grade and tonnage represented by the information on the next page if the cut-off grade is 2.5% and the ore has a density of 2.5 tonnes/m3.

26.    What would be the impact on the answer to question 25 if the cut=off grade is increased to 3%?

 

Drill hole id number

Collar elevation (m)

Easting coordinate (m)

Northing coordinate (m)

Depth to mineralised zone

(m)

1

1000

1000

1000

100

2

1050

1500

1000

150

3

1060

2000

1000

160

4

1010

2500

1000

110

5

1020

1000

1500

120

6

1070

1500

1500

170

7

1050

2000

1500

150

8

1000

2500

1500

100

9

1040

1000

2000

140

10

1020

1500

2000

120

11

1000

2000

2000

100

12

1070

2500

2000

170

13

1040

1000

2500

140

14

1010

1500

2500

110

15

1020

2000

2500

120

16

1000

2500

2500

100

 

 

 

Incremental sequence of samples taken from the mineralised zone

 

Hole id #

10m

15m

20m

10m

5m

10m

5m

20m

Sample

Grades

In %

1

3

2

2.5

3.5

3.8

3

1.7

1.6

2

3.5

3

2.5

2

2.5

3

2

1.5

3

4

4.2

4.4

4.5

4

3.5

2

1.6

4

3.2

2.7

2.5

3.2

3

2.5

1.5

1.4

5

4

3.5

2

2.2

2

1.7

1.6

1.5

6

3.2

2.8

3

3

2.5

2

2.2

1.4

7

4

3.5

2.2

2

2

1.6

1.5

1.2

8

3.5

3

2.5

2

2.5

3

2

1.5

9

4

3.6

3.2

3.4

3.1

2.6

1.6

1.2

10

3.7

3.8

3.5

3.4

2.7

2.3

1.7

1.4

11

3.2

3

2.8

2.6

2.4

2

1.9

1.5

12

3.8

3.9

4.2

4.1

3.4

2.7

1.5

1.2

13

3.8

3.2

3

3.4

2.4

1.7

1.5

1.5

14

4.3

4

4.1

3.4

2.7

2.4

2

1.2

15

4

3.8

2.7

3.2

2.6

1.6

1.4

1.1

16

3.6

3

3.1

3.1

2.2

2

1.7

1.4

 

North Boundary of the property 2500mN

South Bindery of the property 1000mN

East Boundary of the property 2500mE

West Boundary of the property1000mE School of Engineering and Information Technology

27.

1.               The table below shows the Copper ore grade results from a core drilling program undertaken on a regular 100m x 100m grid.

 

 

 

Copper ore % Cu at coordinate values

 

 

 

 

 

 

Easting Coordinate (m)

 

 

 

 

 

0

100

200

300

400

500

600

700

800

900

Text Box: Northing coordinate (m)

0

0.50

0.55

0.60

0.70

0.73

0.83

0.74

0.52

0.5

0.5

100

0.72

0.74

0.75

0.73

0.72

0.83

0.79

0.72

0.70

0.70

200

0.72

0.82

0.83

0.82

0.81

0.83

0.75

0.71

0.71

0

300

0.71

0.71

0.69

0.90

0.91

0.81

0.82

0.83

0.81

0.71

400

0.82

0.84

0.81

0.83

0.83

0.82

0.82

0.81

0.81

0.71

500

0.82

0.91

0.82

0.83

0.82

0.82

0.81

0.81

0.71

0.71

600

0.54

0.64

0.65

0.72

0.69

0.63

0.71

0.72

0.75

0.80

700

0.70

0.71

0.78

0.79

0.65

0.66

0.67

0.65

0.71

0.71

800

0.71

0.72

0.68

0.85

0.84

0.80

0.81

0.80

0.81

0.80

900

0.70

0.81

0.84

0.78

0.80

0.81

0.81

0.81

0.70

0.70

 

Undertake classical statistics on this data set, calculating the mean, variance and standard deviation.

2.               Using the data from question 21, determine experimental variograms in the west to east and north to south directions.

3.               Use ordinary kriging to estimate the grade at the location 475m East, 350m North.

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