Isobel
implies that the common oil industry practice of using
a sGs-based porosity model as a secondary variable in simulating
permeability is NOT a good idea. I am uncomfortable with this practice,
especially as the perm logs are commonly calculated from the original
porosity data anyway. The porosity model does add some
information between sample locations - i.e., between wells - but it's
simulated information, not real data. Any
opinions?
Corinne
-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Isobel Clark
Sent: Wednesday, June 07, 2006 6:27 AM
To: Maarten De Boever
Cc: [email protected]
Subject: AI-GEOSTATS: Re: special case of ordinary cokrigingHi MaartenShort answer is simply, No.If both variables are sampled at exactly the same location, introducing the secondary variable is probably introducing more variation into your kriging rather than more information.Isobel
Maarten De Boever <[EMAIL PROTECTED]> wrote:Dear all,
The potential improvement of cokriging depends on the extend to which
the secondary variable has been sampled additionally to the primary.
Is there any difference between ordinary kriging and ordinary cokriging
in the situation where all observations of the primary and secondary
variable are located at the same locations? Will ordinary cokriging have
in that situation any advantage over ordinary kriging?
Thanks in advantage,
De Boever Maarten.
--
ir. Maarten De Boever
Research Group Soil Spatial Inventory Techniques (ORBIT)
Department Soil Management and Soil Care
Faculty of Bioscience Engineering
Ghent University
Coupure 653, 9000 Gent, Belgium
Tel. + 32 (0)9 264 6042
Fax + 32 (0)9 264 6247
e-mail : [EMAIL PROTECTED]
http://www.soilman.ugent.be/orbit
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