The acquisition parameters of a variable-depth streamer (VDS) survey over Martin Linge field offshore Norway were optimized by modelling. Its benefits were estimated by comparison of signal amplitude spectra on synthetic data for both the legacy flat streamer and a new VDS survey. As soon as several sail lines of the VDS survey had been acquired and processed up to 3D migration, new seismic fast-track data were compared to legacy flat streamer data. Real legacy and new data were also compared to the modelling results. The synthetic amplitude spectra explained quite well the improvement in signal-to-noise ratio of the VDS data up to 30 Hz. However, the better signal-to-noise of VDS data in the 30-40 Hz frequency range was not predicted. A new method has thus been developed to predict the final signal-to-noise ratio as a function of the acquisition parameters by adding real ambient noise in the modelling. This new method gave a more accurate prediction of the signal-to-noise ratio of the final migrated sections with a better fit between real and synthetic data.


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