If it's that clear a feature, can you model it with a polynomial surface
and then subtract that from the data and work with the de-trended
residuals?

Tim Glover
Senior Environmental Scientist - Geochemistry 
Geoscience Department Atlanta Area 
MACTEC Engineering and Consulting, Inc.
Kennesaw, Georgia, USA
Office 770-421-3310
Fax 770-421-3486
Email [EMAIL PROTECTED]
Web www.mactec.com


-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On
Behalf Of Ricardo Centeno
Sent: Thursday, September 13, 2007 10:33 AM
To: [email protected]
Subject: AI-GEOSTATS: Filtering the influence of a leaking component in
a 5 componets decomposition process

Hello everyone,

I don't have much experience in geostatistics and that's why I'm trying 
to get some advice from anyone with a better understanding in this 
matter. Even when I'm mentioning some specific terms they can be 
considered as any general variable, X and Y coordinates and a, b, c, d, 
e variables.

I have a dataset (in my case seismic data) which is decomposed using the

Gauss-Seidel method into five different components (source, receiver, 
shot, cmp and line). This decomposition is based on the contribution of 
each component to a final measured value (let's call it global
amplitude)

What I get at the end are five tables with XY coordinates and the 
corresponding value for each location (component amplitude). When I plot

a map of XY coordinates vs the decomposed value (source) I can see that 
another component (cmp or geology) is leaking into the component I want 
to work on. This is, an underground river is interfering so much in the 
"global amplitudes", and the component of interest (source) is being 
affected by this strong response. Is nothing else but getting a map with

green colors (because I'm not expecting much viriations in the component

of interest) and a strong red lines with the shape of this river.

What I want to do is to remove or filter this component (source) and 
make it statistically consistent with the rest of the survey. I have 
smoothed the data but this means spreading this undesired values around 
the survey, and also set a maximum limit allowed for my "component 
amplitudes" but then i'm taking away usefull values from other
locations.

Can anyone suggest a method to perform this filtering? is there any? 
something like location consistent statistical analysis? Please give me 
a hand with this...

Thaks for your help,

   Ricardo

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