Re: AI-GEOSTATS: KWBP Test Program

2006-07-22 Thread Raimon Tolosana

Dear list,

this situation posed by Mr.Merks, in which spatial dependence is not 
strong enough as to be useful for geostatiscs, might be rather common. 
I'd like to ask to the list, what kind of estimation of reserves should 
be done in this case? In the absence of spatial dependence, classical 
statistics should apply: therefore, shall we estimate the mean value of 
ore content in the deposit by the arithmetic mean of the samples? And 
attach an error to it, in the fashion of the standard error of the mean 
(something like the variance of the sample divided by number of data 
used)? Or did I grossly misunderstand something in the discussion, with 
so much bogus-hocus-pocus and 5-line sentences?


thanks for the patience
Raimon Tolosana

En/na JW ha escrit:


Hello Readers,

 

More talk and not test. I want to know what the KWBP methodology does 
with the Bre-X data. Is that too much to ask?


 


Kind regards,

Jan W Merks


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RE: AI-GEOSTATS: KWBP Test Program

2006-07-22 Thread Pierre Goovaerts
Dear Raimon,
 
If the data are not spatially correlated, your variogram will be modeled as a 
pure
nugget effect and all observations will receive the same weights in your block 
kriging
estimation. If you perform a global block kriging (i.e. use of a single search 
window), your
estimate will then be the arithmetical average of your observations and the 
standard
error will be provided by the kriging standard deviation.
 
Cheers,
 
Pierre
 
Pierre Goovaerts
Chief Scientist at BioMedware Inc.
Courtesy Associate Professor, University of Florida
President of PGeostat LLC
 
Office address: 
516 North State Street
Ann Arbor, MI 48104
Voice: (734) 913-1098 (ext. 8)
Fax: (734) 913-2201 
http://home.comcast.net/~goovaerts/ 



From: [EMAIL PROTECTED] on behalf of Raimon Tolosana
Sent: Sat 7/22/2006 1:30 PM
To: ai-geostats@jrc.it
Subject: Re: AI-GEOSTATS: KWBP Test Program



Dear list,

this situation posed by Mr.Merks, in which spatial dependence is not
strong enough as to be useful for geostatiscs, might be rather common.
I'd like to ask to the list, what kind of estimation of reserves should
be done in this case? In the absence of spatial dependence, classical
statistics should apply: therefore, shall we estimate the mean value of
ore content in the deposit by the arithmetic mean of the samples? And
attach an error to it, in the fashion of the standard error of the mean
(something like the variance of the sample divided by number of data
used)? Or did I grossly misunderstand something in the discussion, with
so much bogus-hocus-pocus and 5-line sentences?

thanks for the patience
Raimon Tolosana

En/na JW ha escrit:

 Hello Readers,

 

 More talk and not test. I want to know what the KWBP methodology does
 with the Bre-X data. Is that too much to ask?

 

 Kind regards,

 Jan W Merks

+
+ To post a message to the list, send it to ai-geostats@jrc.it
+ To unsubscribe, send email to majordomo@ jrc.it with no subject and 
unsubscribe ai-geostats in the message body. DO NOT SEND 
Subscribe/Unsubscribe requests to the list
+ As a general service to list users, please remember to post a summary of any 
useful responses to your questions.
+ Support to the forum can be found at http://www.ai-geostats.org/



+
+ To post a message to the list, send it to ai-geostats@jrc.it
+ To unsubscribe, send email to majordomo@ jrc.it with no subject and 
unsubscribe ai-geostats in the message body. DO NOT SEND 
Subscribe/Unsubscribe requests to the list
+ As a general service to list users, please remember to post a summary of any 
useful responses to your questions.
+ Support to the forum can be found at http://www.ai-geostats.org/


Re: AI-GEOSTATS: KWBP Test Program

2006-07-21 Thread sanguinetti.henri

and I ask Mr. Merks to revise his web-site accordingly as a question of

scientific honesty.

So do I.
I do congratulate you Gerald for your excellent analyses of the mixed up JW 
jargon.
The only time I attended a talk by Mr Merks, apart from being quite ashamed 
that a speaker can use that sort of language, I  have understood that he did 
not know anything about geology, ore continuity, and that he had no 
experience in orebody modeling and evaluation. The bases of his resonning 
were wrong at the very beginning. May be not for a metallurgist who knows 
ore once it has been reduced into powder, but a geologist could not let 
him go any further.


We have years of orebody estimations and  mining reconciliations using many 
of the tools that geostat made available. We practiced variograms from drill 
hole samplies to sampling on conveyors,  years before it even got mentioned 
in published litterature. We have lived with the evolution of the 
techniques, and thanks to all the scientists that have worked in many 
different fields and universities throughout the world (of course not only 
Fontainebleau and Stanford), thanks to generations of practitioners that 
have participated and made possible the software revolution that occured in 
the last ten years. To day we have more tools, more models to adapt to the 
nature of the problems. Not one deposit is strictly identical to the next, 
many assumptions are made necessarily, and it is important to choose among 
available geostatistical methods the most appropriate one. Of course this is 
not enough.. .Practisicing geostat is a professional job.


We of course experienced cases where results were not as good as expected. 
Coming back in details, we always managed to understand what we did wrong. 
It never came to my mind that Professor Matheron et al. should be held 
responsible for my mistakes.Well sometimes yes I pested against software, 
bugs in, bugs out, this is another story. I have never thought either that 
there was a miraculous mandarin able to deliver a magic formula to solve my 
problem, this was my job.


Reprocessing the data differently and finding out where we missed the point, 
that is the way to go. That is also what geostat and the software that exist 
enables us to do. We all know that in basic geostat there are the 
possibility to analyse the data à priori and to tell when there is something 
obviously wrong in the geological interpretation, or in the drilling grid, 
or in the compositing or overall not enough information. to go ahead. Once 
we decide that we can continue, before using a method, there are other 
simple variographic tests that can be done to see if we are within the frame 
of that given method. And we can find many cases where things worked well 
even if we were not strictly within the strict conditions of the model we 
used. Kriging has to be done carefully; there are rules and there are means 
to test the effect of the model, the neighborhood. We were mining; it means 
that we were piking up what we estimated, no place for litterature. I am not 
talking of test on two drill holes on an Excel spread sheet§


To come back to BreX, had Mr Merks querried to know if basic geostat  tools 
were used? Nothing like what I thought I could decipher in his Excell 
spreadsheets under variograms...I mean test by a competent person. The 
answer is no.


Henri Sanguinetti



- Original Message - 
From: Gerald van den Boogaart [EMAIL PROTECTED]

To: JW [EMAIL PROTECTED]; ai-geostats@jrc.it
Sent: Friday, July 21, 2006 9:38 AM
Subject: Re: AI-GEOSTATS: KWBP Test Program



Dear List,

Finally, ...

On 20. Juli 2006 17:54 wrote JW Merks:

Hello Readers,

More talk and not test. I want to know what the KWBP methodology does 
with

the Bre-X data. Is that too much to ask?

Kind regards,

Jan W Merks


Let us get some reality into the Bre-X example Mr. Merks insists on to 
blame

geostats:

I googled to get some information apart from the things Mr. Merks told us 
and

on the first page http://geology.about.com/cs/mineralogy/a/aa042097.htm I
found useful background:

All drillings done after that in the first dataset showed neglectable 
amounts

of gold. So if the first drillings done by the original owner showed much
gold and the later drillings showed no gold, we might have one of two
situations:

Either we had extremly bad/good luck in the first drillings or somebody
cheated and gave bogus measurments. Any significance test (e.g.
Fisher-Exact-Test to keep things simple) would suggest fraud.

And indeed fraud of that type was suggest by other evidence:

see http://geology.about.com/cs/mineralogy/a/aa042097.htm
 # First, contrary to company statements, Busang core samples had been
 prepared for assay in the jungle, not in the testing lab. Videotape made 
 by
 a visitor to the field site showed the humble machines common in assay 
 labs

 —hammer mills, crushers, and sample splitters. Well-labeled sample bags
 clearly had finely