Selective-input Adaptation of Model-based Water-layer Demultiple
H. Huang, P. Wang and S. Hu
Event name: 77th EAGE Conference and Exhibition 2015
Session: Multiple Attenuation
Publication date: 01 June 2015
Info: Extended abstract, PDF ( 1.74Mb )
Price: € 20
Model-based water-layer demultiple (MWD) is an effective method for attenuating water-layer-related multiples (WLRMs), especially in shallow water environments. Regular 3D MWD uses regularized common-offset cubes for both shot- and receiver-side multiples. We propose a selective-input adaptation of regular 3D MWD workflow that uses both regularized shot gathers and regularized common-offset cubes as input and prioritizes the data selected for model prediction; data are selected first from regularized shot gathers and then from regularized cubes. Using field data, we demonstrate that this selective-input MWD removes more multiples than regular MWD, especially for high-order multiple reverberations.