papers/PROGRAM
Conference Program
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Monday 26 May
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Tuesday 27 May
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| Exhibition setup 2.00 pm + |
Conference and Exhibition
9.00 am – 5.00 pm |
Quality Management of RC Drill
Sampling
Workshop
9.00 am – 5.00 pm
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Welcome Function
5.00 pm – 7.00 pm |
Registration desk open
4.00 pm – 6.00 pm |
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Wednesday 28 May
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Thursday 29 May
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Conference and Exhibition
9.00 am – 5.00 pm
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Conference and Exhibition
9.00 am – 1.30 pm |
Conference Dinner
7.00 pm for 7.30 pm |
Sampling Errors and
Creative
Accounting Workshop
2.00 pm – 9.30 pm |
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Friday 30 May
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Economic Consequences of the In Situ Nugget Effect Workshop
9.00 am – 5.00 pm |
Social Functions
Welcome Function
Tuesday 27 May 2008
Venue: Exhibition Area, Sheraton Hotel Perth
Time: 5.00 pm – 7.00 pm
Dress: Smart Casual
Cost: A$66 per guest
Registered delegates & students complimentary. |
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Conference Dinner
Wednesday 28 May 2008
Venue: Sheraton Hotel Perth
Time: 7.00 pm for 7.30 pm
Dress: Smart Dress
Cost: A$120 per guest or student
Registered delegates complimentary.
Conference Proceedings
All delegates will receive a hard cover copy of the conference proceedings containing full papers. Additional hard cover and CD-ROM versions of the conference proceedings may be purchased via the registration form or at the registration desk during the conference.
- Additional hard cover proceedings A$66
- CD-ROM proceedings A$44
The Theme
The theme of Sampling 2008 is “Getting it Right in the Commodity Boom”. While the mining industry devotes considerable effort to generating analytical data for resource estimation, grade control, metallurgical accounting and commercial transactions, in many cases sampling and sample preparation are not given the attention they deserve. There is little point in using the latest analytical equipment if the samples provided to the laboratory are not representative in the first place. The basic rule for correct sampling is that all parts of the ore, concentrate, slurry or other material being sampled must have an equal probability of being collected and becoming part of the final sample for analysis.
If this rule is not respected, the precision of the final analyses will be poor and they may be seriously biased. Without knowing it, companies can lose millions and poor knowledge of product quality limits their ability to optimise mine life.
