Complex Wavelet Adaptive Multiple Subtraction with Unary Filters

Multiple attenuation is a crucial task in seismic data processing because multiples usually cover primaries from fundamental reflectors. Predictive multiple suppression methods remove these multiples by building an adapted model, aiming at being subtracted from the original signal. However, before the subtraction is applied, a matching filter is required to minimize amplitude differences and misalignments between multiples and their prediction, and thus to minimize the multiples in the input dataset after the subtraction. In this paper we focus on the subtraction element. The proposed complex wavelet transform based approach simplifies the matching filter estimation.