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• W2326374214 abstract "Extending our previous work on shallow water demultiple (SWD), we incorporate the multichannel prediction operator that is derived from SWD into a modelling process for attenuating internal multiples generated by shallow reflectors. The resulting process is a fully data driven method that overcomes the commonly observed issue of missing data caused by the near offset gap in shallow water acquisition. In addition, no subsurface information is required in the multiple prediction process as the multichannel prediction operator is first derived from the water layer related surface multiples and then either the inverse scattering series or layer-based convolution method can be used for generating the internal multiple model. We demonstrate through field data examples that the internal multiples predicted by our approach exhibit better event continuity and higher fidelity with respect to frequency bandwidth. Consequently, it imposes less burden on the subsequent subtraction step which in turn leads to enhanced performance of internal multiple attenuation." @default.
• W2326374214 created "2016-06-24" @default.
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• W2326374214 date "2014-08-05" @default.
• W2326374214 modified "2023-09-24" @default.
• W2326374214 title "Enhanced internal multiple attenuation in shallow water environment" @default.
• W2326374214 cites W2150476357 @default.
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• W2326374214 doi "https://doi.org/10.1190/segam2014-0276.1" @default.
• W2326374214 hasPublicationYear "2014" @default.
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