Shooting in an overlapping fashion is called blended or simultaneous acquisition. This can make acquisition efficient. However, deblending the data can be challenging. In this paper we have tried various conventional seismic processing techniques (like tau-p filtering, FK filtering, SVD, Time-frequency Denoising, and FX prediction) to deblend the blended data. We used several datasets, all with a geometry having one seismic vessel in front followed by an extra shooting vessel near the tailbouy of the seismic vessel. We found that the best deblending results were obtained using Time-frequency denoising, SVD, and FX prediction filtering as compared with deblending based on FK or tau-p coherency filtering. FK and tau-p based methods had significant problems in areas if strong or conflicting dips.


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