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Research on Development Effect Standards of Polymer Flooding Well Group Based on ENKF Method

  • INNOVATIVE TECHNOLOGIES OF OIL AND GAS
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Chemistry and Technology of Fuels and Oils Aims and scope

Due to the differences in sedimentary parameters, as well as in the oil development and production conditions, the physical parameters of polymer flooding blocks are different, which affects the enhanced oil recovery effect of polymer flooding of the target reservoir. It has been noted that there is a significant difference in the extent of enhanced oil recovery between different polymer flooding well groups, which complicates production control and recovery effect evaluation of polymer flooding. To evaluate the adjustment standards for polymer flooding stages, it is necessary to formulate the recovery effect standard curves for different types of polymer flooding well groups. In this paper, the dynamic and static data of the polymer flooding block have been analyzed to determine the sensitivity of each factor affecting the well group classification. The well group classification method is established using the grey correlation method and mathematical statistical analysis method. Then, the EnKF method is used to invert the fitted parameter equations for different well groups. Through the combination of the EnKF method and the numerical simulation method, the physical parameters of polymer flooding and the relative permeability curves are used to predict the development effect of different types of well groups, and the development effect standards of different types of polymer flooding well groups are established.

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Acknowledgment

The study is supported by the Reform and Development Fund of Local Universities supported by the Heilongjiang Provincial Undergraduate Universities project (2020YQ17); Research on Water Invasion Mechanism and Percolation Law of Deep Water Gas Reservoir project (2019YDL-08); Research on Optimization Method of Oilfield Injection Production Strategy Based on Intelligent Optimization Algorithm project (2020YDL-25), NSFC grant (51804076), and NSFC of Heilongjiang Province grant (QC2018047).

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Correspondence to Guohui Qu.

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Translated from Khimiya i Tekhnologiya Topliv i Masel, No. 4, pp. 94–98, July–August, 2021.

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Jiang, N., Qu, G., Bo, L. et al. Research on Development Effect Standards of Polymer Flooding Well Group Based on ENKF Method. Chem Technol Fuels Oils 57, 676–689 (2021). https://doi.org/10.1007/s10553-021-01293-0

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