1887

Abstract

Summary

The paper presents the results of modeling polymer flooding in a high-viscosity oil field in various modes. For modeling, a multilayer laterally heterogeneous reservoir model was used. This model was obtained as a result of automatic history matching of data from a real high-viscosity oil field in the Tatarstan (Russia). The considered modes of polymer injection differ in the duration of the injection, the concentration of the polymer, and the time of the beginning of its injection. For each of the modes, the volume of additionally produced oil is analyzed relative to injection without polymer over the entire time interval. The results obtained are additionally illustrated by the patterns of polymer propagation and oil displacement in the reservoir volume. It is shown that for high-viscosity oil fields, injection of polymer solution at earlier stages of development can give a significantly greater effect. In addition, for the same total polymer cost, an increase in polymer injection time at a not very high concentration may be preferable to a short injection of a more concentrated solution.

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/content/papers/10.3997/2214-4609.202157048
2021-09-06
2024-04-29
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References

  1. Dang, C., Nghiem, L., Nguyen, N., Yang, C., Chen, Z. and Bae, W.
    [2018] Modeling and optimization of alkaline-surfactant-polymer flooding and hybrid enhanced oil recovery processes. Journal of Petroleum Science and Engineering, 169, 578–601, DOI: 10.1016/j.petrol.2018.06.017.
    https://doi.org/10.1016/j.petrol.2018.06.017 [Google Scholar]
  2. Lopes, L.F., Silveira, B. M.O., Moreno, R.B.Z.L.
    [2014] Rheological Evaluation of HPAM fluids for EOR Applications. International Journal of Engineering & Technology, 14 (3), 35–41.
    [Google Scholar]
  3. Persova, M.G., Soloveichik, Y.G., Vagin, D.V., Grif, A.M., Kiselev, D.S., Patrushev, Nasybullin A.V. and Ganiev, B.G.
    [2021] The design of high-viscosity oil reservoir model based on the inverse problem solution. Journal of Petroleum Science and Engineering, 199, 108245, DOI: 10.1016/j.petrol.2020.108245.
    https://doi.org/10.1016/j.petrol.2020.108245 [Google Scholar]
  4. Soloveichik, Y.G., Persova, M.G., Patrushev, I.I. and Glushkov, S.A.
    [2018] Numerical Modeling of Multi-Phase Flow in Porous Media for Petroleum Technology Using Polymers Flood. 14th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering, APEIE 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 301–306, DOI: 10.1109/APEIE.2018.8545132.
    https://doi.org/10.1109/APEIE.2018.8545132 [Google Scholar]
  5. Dang, C., Nghiem, L., Nguyen, N., Yang, C., Chen, Z. and Bae, W.
    [2018] Modeling and optimization of alkaline-surfactant-polymer flooding and hybrid enhanced oil recovery processes. Journal of Petroleum Science and Engineering, 169, 578–601, DOI: 10.1016/j.petrol.2018.06.017.
    https://doi.org/10.1016/j.petrol.2018.06.017 [Google Scholar]
  6. Lopes, L.F., Silveira, B. M.O., Moreno, R.B.Z.L.
    [2014] Rheological Evaluation of HPAM fluids for EOR Applications. International Journal of Engineering & Technology, 14 (3), 35–41.
    [Google Scholar]
  7. Persova, M.G., Soloveichik, Y.G., Vagin, D.V., Grif, A.M., Kiselev, D.S., Patrushev, I.I., Nasybullin, A.V. and Ganiev, B.G.
    [2021] The design of high-viscosity oil reservoir model based on the inverse problem solution. Journal of Petroleum Science and Engineering, 199, 108245, DOI: 10.1016/j.petrol.2020.108245.
    https://doi.org/10.1016/j.petrol.2020.108245 [Google Scholar]
  8. Soloveichik, Y.G., Persova, M.G., Patrushev, I.I. and Glushkov, S.A.
    [2018] Numerical Modeling of Multi-Phase Flow in Porous Media for Petroleum Technology Using Polymers Flood. 14th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering, APEIE 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 301–306, DOI: 10.1109/APEIE.2018.8545132.
    https://doi.org/10.1109/APEIE.2018.8545132 [Google Scholar]
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