New source over the streamer acquisition has been designed to record a wide range of incidence angles, excellent near offset coverage and low levels of ambient noise due to the deep streamer tow. Along with this optimal acquisition, a specific processing sequence needs to be applied to ensure a high resolution image from top to bottom of the seismic section. This is presented on a large scale Barents Sea case study.

An advanced demultiple sequence, benefiting from the full recorded water bottom, was implemented to reveal thin details hidden by complex multiple content at target levels. This and the favorable signal to noise ratio gives us access to the enhanced AVO attributes compared to the conventional acquisition. This new seismic information was accurately located in the subsurface by having both the correct surface device position and an improved velocity field. The first one has been obtained by taking advantage of the direct arrival recorded while the second one relies on an accurate Residual Move-Out (RMO) analysis.


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  1. Dhelie, P. E., Danielsen, V., Lie, J. E., Evensen, A. K., Wright, A., Salaun, N., Henin, G., Vinje, V. and Camerer, A.
    [2018] Improving seismic imaging in the Barents Sea by source-over-cable acquisition. SEG Technical Program Expanded Abstracts 2018, 71–75
    [Google Scholar]
  2. Garden, M., Michot, O., Terenzoni, M., Veire, H.H., Granli, J.R., Moskvil, L.M., and Krathus-Larsen, K.I.
    , [2017] Resolution, Resolution, Resolution-An Ultra-high Resolution Seismic Case Study from the Barents Sea. 79th EAGE Conference and Exhibition
    [Google Scholar]
  3. Lie, J. E., Danielsen, V., Dhelie, P. E., Sablon, R., Siliqi, R., Grubb, C., Vinje, V., Nilsen, C.I. and Soubaras, R.
    [2018] A Novel Source-Over-Cable Solution to Address The Barents Sea Imaging Challenges. 80th EAGE Marine Acquisition Workshop
    [Google Scholar]
  4. Pica, A., Poulain, G., David, B., Magesan, M., Baldock, S., Weisser, T., Hugonnet, P. and Herrmann, P.
    [2005] 3D surface-related multiple modeling, principles and results. SEG Technical Program Expanded Abstracts, 2080–2083
    [Google Scholar]
  5. Pica, A., Sablon, R., Deprey, J., Le Roy, S., Soubaras, R., Chambefort, M., Henin, G., Danielsen, V., Dhelie, P.E. and Lie, J.
    [2018] Detailed Surface Multiple Prediction Using Split-spread Broadband Seismic Marine Data in a Complex Sea Floor Environment. 80th EAGE Conference and Exhibition
    [Google Scholar]
  6. Sablon, R., Lacombe, C. and Deprey, J. M.
    [2016] Primary-preserving multiple attenuation for broadband data. SEG Technical Program Expanded Abstracts, 5134–5138
    [Google Scholar]
  7. Vinje, V., Lie, J.E, Danielsen, V., Dhelie, P.E., Siliqi, R., Nilsen, C., Hicks, E. and Camerer, A.
    [2017] Shooting over the seismic spread. First Break, 35(6), 97–104.
    [Google Scholar]
  8. Wang, P., Jin, H., Xu, S. and Zhang, Y.
    [2011] Model-based water-layer demultiple. SEG Technical Program Expanded Abstracts, 3551–3555
    [Google Scholar]

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