1887

Abstract

Summary

The creation of reservoir model properties has become an art of bringing together hard and soft data, gathering ideas of geologists and geophysicists, constraining them with measured values in- and outside wells. Through lifecycle of the oil field the information coverage is growing - new wells are being drilled, new seismic acquisitions are performed, and new geological concepts are developed. The Brazilian pre-salt fields are no exception. However, these fields experience additional challenges, where the carbonates show significant lateral and vertical variability and the salt layer limits illumination and penetration of the seismic signal. In this paper, we investigate performance of three techniques on the Lula field: simulation, which "propagates" properties between wells; deterministic inversion, which transforms seismic amplitudes into elastic properties; and geostatistical inversion, which combines simulation and seismic-driven inversion. We demonstrate that geostatistical inversion brings together the best of both techniques and helps address the challenges of characterization of pre-salt carbonates.

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/content/papers/10.3997/2214-4609.201902176
2019-09-02
2024-04-18
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References

  1. Doyen, P. [2007] Seismic Reservoir Characterization: An Earth Modelling Perspective.EAGE Publication, Houten.
    [Google Scholar]
  2. Freitas, L. P. F., Reis, T., and Souza Jr, O. [2017] Three-dimensional stratigraphic-sedimentological forward modeling of an Aptian carbonate reservoir deposited during the sag stage in the Santos basin, Brazil. Marine and Petroleum Geology, 88, 676–695.
    [Google Scholar]
  3. Griffiths, M., Hembd, J., and Prigent, H. [2011] Applications of interbed multiple attenuation. The Leading Edge, 30(8), 906–912.
    [Google Scholar]
  4. Mukerji, T., Jorstad, A., Avseth, P., Mavko, G., and Granli, J. R. [2011] Mapping lithofacies and pore-fluid probabilities in a North Sea reservoir: Seismic inversions and statistical rock physics. Geophysics, 66(4), 988–1328.
    [Google Scholar]
  5. Oliveira, L., Pimentel, F., Peiro, M., Amaral, P., and Christovan, J. [2018] A seismic reservoir characterization and porosity estimation workflow to support geological model update: pre-salt reservoir case study, Brazil. First Break, 36(9), 75–85.
    [Google Scholar]
  6. Teixeira, L., Cruz, N., Silvany, P., and Fonseca, J. [2017] Quantitative seismic interpretation integrated with well-test analysis in turbidite and presalt reservoirs. The Leading Edge, 36(11), 931–937.
    [Google Scholar]
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