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Field Portable Sample Preparation

Tools for Mineral Analysis in

Remote Locations

Chris Calam

BCA April 2013

2

Stages of Exploration/Mining

3

What is the Purpose of Mineral Exploration

•To find an ore body (deposit)

•To determine if it is economical to mine

•To investigate how to mine it

•Achieved in stages

4

One of Several Deposit Types

5

Exploration – Tools utilised

• Local geological records/maps

•Use various techniques (mainly Geophysics) to

map geology and geophysical properties of region

• to infer information used to target ore bodies for

mining

•Gravitational

•Magnetics

•Electromagnetics

•Radiometrics

•NIR

•FP-XRF

6

What is Field Portable XRF

•For when elemental analysis of soils and rock

samples are required

•Used in regional soil geochemical surveys looking

for pathfinder elements

•Proven Technology

7

Why is Portable XRF so Widely Used in Mining?

• Cost-effective analytical

technique

• Simultaneous multiple elements

• Non-destructive

• Real-time data, quick

turnaround

• Excellent correlation with lab

when allied with sample

preparation

• Consistent data quality

8

Mapping Case Study: Banana Zone Cu-Ag Project, Botswana

0

5

10

15

20

25

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41

Cu

(p

pm

)

Sample

Soil Results Comparison (New Discovery)

Niton XRF XL3t Goldd

Genalysis lab results

Partial digest and analysis by ICP-MS

0

20

40

60

80

100

120

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41

Cu

(p

pm

)

Sample

Soil Results Comparison (Chalcosite Zone)

Niton XRF XL3t Goldd+

Genalysis lab results

1 km

Cu Anomaly

Cu Anomaly

Partial digest and analysis by ICP-MS

9

0

5

10

15

20

25

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41

Cu

(p

pm

)

Sample

Soil Results Comparison (North Limb)

Niton XRF XL3t Goldd+ Niton XRF FXL Genalysis lab results

Partial digest and analysis by ICP-MS

Mapping Case Study: Banana Zone Cu-Ag Project, Botswana

1 km

Cu Anomaly

0

5

10

15

20

25

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41

Cu

(p

pm

)

Sample

Soils Results Comparison (South Limb Infill)

Niton XRF XL3t Goldd+ Niton FXL Genalysis lab results

Partial digest and analysis by ICP-MS Cu

Anomaly

10

What Performance is Demanded

• Mapping anomalies is straight forward

• Semi-Quantitative is acceptable

• No sample preparation is required

• Drilling, grade control – Resource Estimation

• Quantitative analysis is required

• Sample is heterogeneous

Baseline at 3-5ppm

Anomaly at 20-50ppm

11

Typical Heterogeneous Rock

>400 ppm As

300-400 ppm As

200-300 ppm As

100-200 ppm As

<100 ppm As

Breccia clast

12

Limestone

13

Limestone

14

PbZn Ore

15

PbZn Ore

16

Granite

17

Granite - Point and Shoot

18

Granite – Makita Pressed in Tubes

19

Granite – Mill Pressed in Tubes

20

Direct vs. Prepared

• Left un-prepared

• Right prepared samples.

• It is up to the client to decide which one is better: time vs. accuracy.

21

Case Study: Base Metal Exploration in Mexico

22

Base Metal Exploration in Mexico

23

Base Metal Exploration in Mexico

24

Base Metal Exploration in Mexico

25

Base Metal Exploration in Mexico

26

Magnesium

27

Nickel

28

Iron

29

•How to do sample preparation in

remote locations with no power?

30

Portable Battery Operated Sample Prep Tools

Direct Rock Sampler

Sample Press 12V/ 5kg portable Mill

Crusher

31

Simple to Operate

32

Sample Preparation Tools

33

Opens Up New Markets

• Oil and Gas Exploration

• Mud logging (geochemical analysis)

• Gas and oil shale (light element ratios)

• Industrial Minerals

• Limestone

• Silica sand

• Clay

• Steel slag

• Cement – raw meal and gypsum addition

34

Conclusion

• Sample preparation reduces RSD% significantly for all elements

• Utilise where appropriate

• Critical for light element quantification

• Generates data comparable to labs

• Potential to open up new markets

• e.g. Limestone mapping

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