Click to view page image in pdf format.
7th Middle East Geosciences Conference and Exhibition
Manama, Bahrain
March 27-29, 2006
Blind
Source Separation Techniques for Multiple Suppression
Research Institute, King Fahd University of Petroleum & Minerals, KFUPM, Box 1743, Dhahran 31261 Saudi
Arabia, phone: +96638602592, [email protected]
Blind
Source Separation (BSS) has received much attention in the context of acoustic mixtures. Most algorithms that
separate convolutive mixtures exploit the spatial selectivity of an array of microphones. It is natural therefore to put
convolutive BSS into the context of multiple suppression. BSS techniques can be formulated as the problems of separating
or estimating the waveforms of the original sources from an array of receivers without knowing the characteristics of the
transmission channels, i.e. the subsurface. In this work, we assume that the seismic data, refereed to as output, is modeled
by as linear convolutive mixture of primaries and multiples, refereed to as sources. We will describe various approaches,
methods and techniques to
blind
and semi-
blind
source separation, especially principal and independent component
analysis. The goal of this work is to investigate the potential of BSS techniques in handling the primaries and multiples
separately. The efficiency of the proposed algorithms will be assessed using synthetic models with increasing complexity.