Try to use colocate cosimulation or external drift in simulation (you need
ISATIS to do that) there are classic examples with seismic data.



Be careful with sequential approach, it have be deduced to simulate in an
strict second stationary context.

Regards
Adrian


----- Original Message -----
From: <Rühaak>; "Wolfram" <[EMAIL PROTECTED]>
To: <[email protected]>
Sent: Tuesday, January 16, 2007 9:55 AM
Subject: AI-GEOSTATS: Simulation with hard and soft data


> Dear all,
>
> I would like to ask for some advice regarding a simulation I am planning
to compute.
>
> I want to grid/interpolate the depth of a sedimentary layer. I have two
sets of information: 1. drillings and 2. seismics, the seismic data give
3-dimensional lines.
>
> The drilling information is supposed to be exact; I have two different
sets of seismic data: a) with an associated error of approx. +/- 10 m and b)
with an associated error of +/- 3 m.
>
> Although the seismic data are weak concerning the exact depth of the
layer, they give good and dense information about the spatial relationship
(nice semi-variogram).
>
> In conclusion I want to calculate a simulation (with gslib) based on the
seismic variogram and the drillings as hard data, the seismics should be
included as upper/lower bounds for the simulated surface.
>
> Which geostatistical method suits best for this purpose: Sequential
Gaussian Simulation or Sequential Indicator Simulation, or something else?
>
> Are there papers available dealing with a similar problem. Of course I
have books dealing with this topic (e.g. Goovaerts, GSLIB), however I am not
a geostatistican and wanted to ask before doing something foolish ;-)
>
> I favor a simulation because a simple conditional SGS I have computed
reproduces in a good manner the surface roughness which is visible within
the seismics.
>
> I would also appreciate additional, general suggestions regarding this
purpose.
>
> Many thanks in advance, regards
> Wolfram
> --
> Wolfram Ruehaak, [EMAIL PROTECTED]
> Phone/Fax: +49 +511 643 -3490/-3665
> Section S5 - geo information systems and databases
> Leibniz Institute for Applied Geosciences (GGA)
> Stilleweg 2, D-30655 Hanover
>
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