Processing 3-D Dual-sensor Towed Streamer Data Using Local Crossline Slowness Estimates

Dual-sensor towed streamer data can be decomposed into data containing only the up-going (or down-going) part of the recorded total wave fields. The separation into up-going and down-going parts depends on the emergence angle of the wave fronts at the receiver and is therefore commonly applied in the plane wave domain. Large separation of the small number of streamers requires extensive data reconstruction to provide the aperture and receiver spacing necessary for proper 3-D plane wave decomposition. Here, a new method is presented to remove the necessity for data reconstruction. It is based on multiple processing of single streamer data sets using crossline slowness estimates. The method reduces 4-D differences to a conventional base survey when compared to values obtained with dual-sensor specific processing neglecting the crossline dip component.