1887

Abstract

Summary

The Culzean field, in the North Sea, has been producing since 2019 gas condensate from fluvial sandstones located within dipping rotated fault blocks at approximately 4km of depth. Two surveys have been acquired with ocean bottom sensors to image and then monitor the evolution of the reservoir during production. In addition to classical time-lapse seismic processing, a time-lapse FWI has been performed to estimate the velocity variation over the production time. Due to the thick chalk layer located just above the target structure and the dipping nature of the reservoir, 4D FWI is the ideal tool compared to more conventional 1D approach based on time-shift estimations. This fast velocity layer represents a challenge for velocity model building and processing in general as it prevents the penetration of diving waves even with 7km of offset and also generates strong multiple curtains covering the reservoir interval. Despite the shallow water environment and complex geology, the 4D FWI implemented in this project was able to recover velocity variations as weak as 1% after only 3 years of production, providing crucial information that can help reservoir evolution assessment.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202310586
2023-06-05
2025-05-19
Loading full text...

Full text loading...

References

  1. Bortoni, S., Barragan, S., Azevedo, G., Cypriano, L., Ferreira, A., Moreira, W. and Dos Reis, P. [2021] Learnings from an FWI imaging study using 3D and 4D data over a postsalt field in Campos Basin. SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy. Extended Abstracts.
    [Google Scholar]
  2. Dega, S., Allemand, T., Yu, Z., Salaun, N., Lafram, A., Grandi, A., and Jungo, E. [2021] Revealing 4D Subsidence with 3D Water-Bottom Traveltime Inversion. 82nd EAGE Annual Conference & Exhibition. Extended Abstracts.
    [Google Scholar]
  3. Hicks, E., Hoeber, H., Houbiers, M., Lescoffit, S., Ratcliffe, A. and Vinje, V. [2016] Time-lapse full-waveform inversion as a reservoir-monitoring tool A North Sea case study: The Leading Edge, 35.
    [Google Scholar]
  4. Ji, L., MacBeth, C. and Mangriotis, M.D. [2021] A Critical Comparison of Three Methods for Time-Lapse Time-Shift Calculation. Mathematical Geosciences, 53(1), pp.55–80.
    [Google Scholar]
  5. Lumley, D.E. [2001] Time-lapse seismic reservoir monitoring. Geophysics, 66(1), 50–53.
    [Google Scholar]
  6. Li, N., Yu, Z., To, R., Wang, M., Xie, Y., and Dickinson, D. [2021] 4D FWI using towed-streamer data: A case study near Laverda oil field. SEG First International Meeting for Applied Geoscience & Energy.
    [Google Scholar]
  7. Ribeiro, C. and MacBeth, C. [2006] Time-lapse seismic inversion for pressure and saturation in Foinaven field, west of Shetland. First break, 24(10).
    [Google Scholar]
  8. Routh, P., Palacharla, G., Chikichev, I. and LazaratosS. [2012] Full wavefield inversion of time-lapse data for improved imaging and reservoir characterization: SEG Annual Meeting.
    [Google Scholar]
  9. Zhang, Z., Mei, J., Lin, F., Huang, R. and Wang, P. [2018] Correcting for salt misinterpretation with full-waveform inversion. 88th SEG International Meeting, Extended Abstracts, 1143–1147.
    [Google Scholar]
/content/papers/10.3997/2214-4609.202310586
Loading
/content/papers/10.3997/2214-4609.202310586
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error