Adaptive window deghosting (AWD) removes source and receiver side ghosts recorded in towed streamer configurations. Ghost removal results in amplitude recovery at the notch frequencies and a broadening of the spectrum. AWD operates in tau-p space where like slowness traces share similar ghost properties. It separates the tau-p space into user-defined space and time windows and searches for the optimal deghost operator in each window. Thus it is data driven and adaptive. This adaptive nature allows it to compensate for mild 3D effects and uncertainties in water velocity and streamer depth, which other 2D deghosting methods cannot handle correctly.

Zhang, Z. Wu, B. Wang & J. Ji, 2016, Adaptive window Deghost - Applications to FAZ Acquisition: 78th Conference and Exhibition, EAGE, Extended Abstracts.

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Shot gather before AWD and frequency spectrum
AWD_gather_before_spectrm
Shot gather after AWD and frequency spectrum
AWD_gather_after_spectrm

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Stack before AWD
AWD_stack_before
Stack after AWD
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