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Abstract

Summary

The paper is devoted to the approach to automatic history matching of a reservoir model and the production optimization on the basis of the history-matched digital model. The distinctive feature of this approach to history matching is the use of both the physical and geometric parameters for parameterization of the reservoir model. The objective functions for the history-matching problem and for optimization are presented in the paper. In order to achieve the desired economic effect, oil production optimization can be performed in different modes with a choice of coefficients depending on the oil prices and polymer costs. Using the production data from two parts of the high-viscosity oil field, we show that the considered approach to the history matching enables us to make high-quality forecasts. The example of the production optimization with the use of polymer flooding is discussed. It is shown that the production optimization makes it possible to keep total oil production even if the polymer consumption significantly (more than three times) reduces in comparison with non-optimized polymer flooding. On the other hand, if the polymer is relatively inexpensive, then the oil production can be noticeably increased with relatively small growth of the polymer consumption.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.202052021
2020-10-05
2024-04-19

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References

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    [2015] Comprehensive framework for gradient-based optimization in closed-loop reservoir management. Computational Geosciences, 19, 877–897.
     [Google Scholar]
  6. Shirangi, M.G., Durlofsky, L.J.
    [2015] Closed-loop field development under uncertainty by use of optimization with sample validation. SPE Journal. Society of Petroleum Engineers, 20(5), 908–922.
     [Google Scholar]
  7. Persova, M.G., Soloveichik, Y.G, Grif, A.M. and Patrushev, I.I.
    [2018a] Flow balancing in FEM modelling of multi-phase flow in porous media. Proceedings of the 14th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering, APEIE 2018, 1(4), 205–211.
     [Google Scholar]
  8. Persova, M.G., Soloveichik, Y.G, Patrushev, I.I. and Grif, A.M.
    [2018b] Numerical modeling of multi-phase flow for various junctions of water and oil saturated layers in 3-D porous media. Proceedings of the 14th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering, APEIE 2018, 1(4), 212–215.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.202052021
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Oil Production Optimization Based on the Finite-Element Simulation of the Multi-Phase Flow in Porous Media and Inverse Problem Solution
Conference Proceedings 2020, 1 (2020); https://doi.org/10.3997/2214-4609.202052021
/content/papers/10.3997/2214-4609.202052021
/content/papers/10.3997/2214-4609.202052021
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