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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