1887

Abstract

Summary

Deriving an impedance image from a velocity model obtained by full waveform inversion is shown to provide a great uplift compared to conventional migration. By using the full wave-field and a least-square fitting process, FWI Imaging gives better continuity of complex structures and greatly improves the signal to noise ratio, revealing subtle impedance contrasts. This technology has been successfully applied on the Culzean OBN dataset, allowing a better understanding of the reservoir. Pushing the FWI maximum frequency to 40Hz enabled to image thin sediment layers and faults, easing the identification of possible reservoir compartments. In terms of monitoring, velocity variations (dv) related to the reservoir evolution, can be detected when running two parallel FWI on base and monitor seismic datasets and analysing the difference between the obtained velocity fields. This dv highlights the hardening and softening layers as well as the compartmentalization in the reservoir. Moreover, in the shallow surface, the resulting dv could also be of great interest to prevent possible hazards during production.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.2023628012
2023-09-18
2026-01-16
Loading full text...

Full text loading...

References

  1. Berg, E., Vuillermoz, C., Woje, G. and Ekmann, G. [2008] Emerging Geophysical Technologies: Is Planting and Re-Planting of Nodes in a 4C–4D Scenario the Optimum and Most Cost-Effective Solution for Field Reservoir Monitoring.Offshore Technology Conference. 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. Salaun, N., Wright, A., Pintus, A., Jiang, H., Janot, L., Roodaki, A., Dhelie, P.E., Lie, J.E. and Danielsen, V. [2022]. High-Resolution Full-Waveform Inversion for Structural Improvement and Prospects Delineation: a Case Study at Haugaland High.83rd EAGE Annual Conference & Exhibition.
    [Google Scholar]
  5. SoubarasR. [1996] Ocean bottom hydrophone and geophone processing, SEG, Extended Abstracts
    [Google Scholar]
  6. Tarantola, A. [1984] Inversion of seismic reflection data in the acoustic approximation:Geophysics, 49(8), 1259–1266.
    [Google Scholar]
  7. Thompson, M., Arntsen, B. and Amundsen, L. [2007] Experiences with full-azimuth acquisition in ocean bottom seismic.First break, 25(1105).
    [Google Scholar]
  8. Wang, Y., Bale, R., Grion, S. and Holden, J. [2010] The ups and downs of ocean-bottom seismic processing: applications of wavefield separation and up-down deconvolution.The Leading Edge, 10.
    [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]
  10. Zhang, Z., Z.Wu, Z.Wei, J.Mei, R.Huang, and P.Wang [2020] FWI Imaging: Full-wavefield imaging through full-waveform inversion:90th Annual International Meeting, SEG, Expanded Abstracts,
    [Google Scholar]
/content/papers/10.3997/2214-4609.2023628012
Loading
/content/papers/10.3997/2214-4609.2023628012
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