The limitations in conventional marine seismic surveys such as imaging of complicated geology in deep water motivate a quest for new and alternative technologies such as OBNs (ocean-bottom nodes). High-quality data from the sea floor can be acquired with ocean-bottom node acquisition techniques which can provide wide-azimuth data set with sparse receiver interval and dense source interval. The main challenge with the ocean-bottom nodes is now processing and imaging of the data. The mirror migration technique is an effective solution for this challenge by separation of the seabed hydrophone and geophone data into up-going and down-going waves.In this study we apply the mirror migration method on a real OBN dataset and demonstrate that using multiples to image the shallow sea bottom improves the continuity and image quality, which is very important for subsurface depth/velocity model derivation. We also demonstrate the challenges associated with such datasets.
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