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Technical Content

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | R. Haacke, S. Hou (CGG) ; R. Johnston, R. Walters (BP) ; S. Angio, J. Tickle, S. Drummie (CGG) © 2019 EAGE | June

Generation of inaccurate multiple models that are subsequently adapted to the data can easily cause signal damage where dip discrimination between primaries and multiples is low. This is often diagnosed by appreciable distortion of the multiple model during adaption. Using data from onshore Oman ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | T. Wang, Y. Xie, M. Wang, Y. Guo, S. Wu, X. Ding (CGG) ; S. Wolfarth, Y. Supriatna, P. Santoso (BP) © 2019 EAGE | June

We put forward an optimized process in which dynamic warping is repeated with offset dependent constraint to ensure the traveltime difference reliable for the inversion. With the better reliably detected time-shifts, we can better manage the cycle-skipping problem when starting at a relatively higher ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | S. Bretherton, R. Haacke, B. Xiao, M. Sinha, P. Roy (CGG) ; M. Ackers, C. Ward, A. Fletcher, D. Danchenko (Spirit Energy) © 2019 EAGE | June

Velocity model building in the shallow overburden is difficult in the central North Sea. Shallow waters is tough for reflection tomography, shallow gas pockets cause velocity errors and poor imaging and anisotropy is a guess at best with little shallow well control. We present ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Gordon Poole © 2019 EAGE | June

Surface related demultiple continues to be a major challenge in shallow water environments. While multiples generated by the water bottom reflection can often be adequately attenuated with targeted demultiple approaches, multiple reflections from other shallow events can be more challenging to remove. Deconvolution can ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | M. Chambefort, N. Salaun (CGG) ; E. Chautru (MinesParistech) ; S. Clémençon (Universite Paris Saclay) © 2019 EAGE | June

Illustration of how machine learning application is used for Seismic global QC and detailled clusterization of data for tailored processing. Data reduction with deep neural network shows great efficiency to limit memory issue.

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | S. Zainal, J.H. Tan, M. Kabul Syah, S. Maitra (CGG Services (M) Sdn Bhd) ; C.H. Lim (VESTIGO Peteroleum Sdn Bhd) ; T. Wai Hoong, M.A. Bapu (PETRONAS Carigali Sdn Bhd) ; A. Duen Woei (VESTIGO Peteroleum Sdn Bhd) © 2019 EAGE | June

Reprocessing of available seismic dataset using high-end processing technology was seen to be the most economical solution for search of deeper, pre-carbonate targets in a marginal field. The vintage data suffered from amplitude loss due to absorption by gas bodies and carbonate layers causing ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | AA. Sedova, J. Messud, H. Prigent, S. Masclet, G. Royle, G. Lambaré © 2019 EAGE | June

We illustrate a new case study based on our land FWI workflow. We also demonstrate the impact of optimal transport (OT) FWI on the resulting velocity model, which aims to mitigate cycle skipping. We demonstrate how it corrects several localized failures with conventional FWI ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Vetle Vinje, Thomas Elboth © 2019 EAGE | June

Placing marine sources on the top of the seismic streamer spread improves resolution and reservoir inversion in shallow and intermediate depth targets. This is due to the abundance of near offset data and high level of illumination compared to conventional marine seismic. A drawback ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Sylvain Masclet, Thomas Bardainne, Vivien Massart, Herve Prigent, David Le Meur, Song Hou © 2019 EAGE | June

Shallow stratigraphy in Southern Oman is characterized by the presence of a shallow anhydrite layer causing a strong velocity inversion which makes seismic imaging particularly tedious. This known shallow sharp velocity inversion cannot be easily captured with reflected waves based techniques or even acoustic ...