1887

Abstract

Summary

This work presents the results of a 4D feasibility study performed with a synthetic carbonate reservoir model based on a pre-salt reservoir. We modeled one base survey and the first monitor acquired after 1.5 years of the first oil. We could observe strong 4D signals related to pore pressure increase due to the injector wells , as well as water and gas saturation changes around the WAG wells. Besides the results of the forward modeling, we also present the results of a 4D seismic inversion applied to the synthetic seismic amplitudes to discuss the complexities of 4D seismic interpretation as well as to check that most of the 4D changes on acoustic impedance can be recovered even with complex time-lapse amplitude data. We also highlight a region of the reservoir from which the 4D signal could be compromised by the presence of a volcanic rock nearby injector wells with intense production activity.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202183036
2021-09-08
2024-05-21
Loading full text...

Full text loading...

References

  1. Botechia, V. E.; Lemos, R. A.; Hohendorff Filho, J. C. V.; Schiozer, D. J.
    2021. Well and ICV Management in a Carbonate Reservoir with High Gas Content. Journal of Petroleum Science and Engineering, v. 200, pp. 1–12. https://dx.doi.org/10.1016/j.petrol.2021.108345
    https://doi.org/10.1016/j.petrol.2021.108345 [Google Scholar]
  2. Buland, A. & El Ouair, Y.
    , 2006. Bayesian 4D joint inversion, Geophysics, 71, R43–R48.
    [Google Scholar]
  3. Correia, M.G., Botechia, V.E., Pires, L.C.O., Rios, V.S., Santos, S.M.G., Rios, V.S., Hohendorff Filho, J.C.V., Plata Chaves, J.M., Schiozer, D.J.
    , 2020. UNISIM-III: benchmark case proposal based on a fractured karst reservoir. In: ECMOR XVII, On- Line Event. https://doi.org/10.3997/2214‑4609.202035018.
    https://doi.org/10.3997/2214-4609.202035018 [Google Scholar]
  4. Rosa, D. R., Santos, J. M., Souza, R. M., Grana, D., Schiozer, D. J., Davolio, A., & Wang, Y.
    2020. Comparing different approaches of time-lapse seismic inversion. Journal of Geophysics and Engineering, 17(6), 929–939. https://doi.org/10.1093/ige/gxaa053
    https://doi.org/10.1093/ige/gxaa053 [Google Scholar]
  5. Santos, J. M. C., Davolio, A., Schiozer, D. J.
    2020. Multi-Attribute Approach for Quantifying Competing Time-Lapse Effects and Implications for Similarity Indicators in Data Assimilation. In: SPE Annual Technical Conference & Exhibition. On-Line Event. https://doi.org/10.2118/201426‑MS
    https://doi.org/10.2118/201426-MS [Google Scholar]
  6. Silva, E. P. A., Davolio, A., Santos, M. S., Schiozer, D. J.
    2020. 4D Petro-Elastic Modeling Based on a Pre-Salt Well”, Interpretation, v. 8, n° 3, pp. 639–649, Agosto. https://dx.doi.org/10.1190/INT‑2019‑0099.1
    https://doi.org/10.1190/INT-2019-0099.1 [Google Scholar]
  7. Silva Neto, G. M., Rios, V.S., Davolio, A., Schiozer, D. J.
    2020. Improving Fluid Modeling Representation for Seismic Data Assimilation in Compositional Reservoir Simulation”, Journal of Petroleum Science and Engineering, v. 194, pp. 1–18. https://dx.doi.org/10.1016/j.petrol.2020.107446
    https://doi.org/10.1016/j.petrol.2020.107446 [Google Scholar]
  8. Mello, V.L.D., Santos, M.S.D., Penna, R.M., Rosseto, J.A. and Deplante, C.
    2019. 4D Petroelastic Modeling for a Brazilian Pre-Salt Field: What to Expect From Interpretation? In: 81st EAGE Conference and Exhibition, Volume 2019, p.1–5. https://doi.org/10.3997/2214‑4609.201901401
    https://doi.org/10.3997/2214-4609.201901401
/content/papers/10.3997/2214-4609.202183036
Loading
/content/papers/10.3997/2214-4609.202183036
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