I'm not sure that any one parameter can provide the measure. Resources can
be classified on 

1. drill data and support (quality of the drill logs, sampling, assays,
standards and duplicates);
2. drill hole spacing (adequacy for the resource type, eg less than
variogram major range);
3. structural complexity;
4. interpretation quality, strings and triangulations (how well do the
geology strings fit the drilling and the regional geology);
5. mineralisation type 
6. continuity of grade;
7. anomalies (inconsistent or contradictory data);
8. statistics results eg variance, CV, nugget effect, short range
structures, neighbourhood test results;
9. estimation method;
10. run flag;
11. kriging variance (relatively high or low within the strand);
12. tonnage / metre intersected in cases of sparse drilling;
13. confidence intervals (via gaussian transforms);
14. conditional simulation results.

And there are probably more. Our classification is based on a (subjective?)
assessment of the first 10 above. And we also recognise that one poor
measure can destroy confidence eg no amount of good interpretation or
statistics can make up for poor sampling - the deposit will have a low
classification.

Hope this makes sense - and as Clint Eastwood says 'works for me!'

Jim
ph  08 9327 2263
fax 08 9327 2294


-----Original Message-----
From: Isobel Clark [mailto:[EMAIL PROTECTED]]
Sent: Wednesday, 27, February 2002 1:40
To: Bill Shaw
Cc: [EMAIL PROTECTED]
Subject: Re: AI-GEOSTATS: What are appropriate measures of reliability
for Mineral Resource and Ore Reserve estimates?


Bill

There are several presentations being given this week
at the APCOM in Phoenix. You might want to look at the
proceedings and check through those.

One of the papers I have heard so far compares three
criteria and shows how they affect a particular case
study. The three are a weighted distance criterion, a
kriging variance and an information measure. In this
particular case, kriging variance came out bottom. 

Pity, because that's what I use!
Isobel

Isobel Clark
http://uk.geocities.com/drisobelclark

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