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In this chapter I address the issue of subtracting an estimated multiple model from
data containing primaries and multiples. This is a key step in multiple attenuation
methods such as SRME in which the multiple model is expected to have wavelet differences
with respect to the data. Instead of just matching and adaptively subtracting the multiple
model, I simultaneously match the estimates of both the primaries and the
multiples to the data. This has the key advantage of reducing the crosstalk from the
multiples in the final estimate of the primaries. I illustrate the method with both
synthetic and real 2D data in CMP and angle gathers. Furthermore, I show that the method
can be used beyond the attenuation of multiples by applying it to the matching and
adaptive subtraction of ground-roll. The adaptive subtraction presented in this chapter
is used to compute the results of Chapter .

** Next:** Chapter 4: Mapping of
**Up:** Thesis Overview
** Previous:** Chapter 2: Attenuation of
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2007-10-24