Tim,
Thanks for replying and giving me a starting point, let me find a
software to work with (do you have any preferred one?). I'll let you
know when I get something from this.
regards,
Ricardo
Glover, Tim wrote:
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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--
Ricardo De Marco C.
Senior DP Seismic Engineer
Email: [EMAIL PROTECTED]
SCHLUMBERGER - WesternGeco
Direct: +47 51 946834
Mob: +47 46 921246
Risabergveien 3
4068 Stavanger, Norway
PO Box 8013
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