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An Injectivity Evaluation Model of Polymer Flooding in Offshore Multilayer Reservoir

Author

Listed:
  • Liang Sun

    (Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China)

  • Baozhu Li

    (Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China)

  • Hanqiao Jiang

    (Key Laboratory of Petroleum Engineering of the Ministry of Education, China University of Petroleum, Beijing 102249, China)

  • Yong Li

    (Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China)

  • Yuwei Jiao

    (Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China)

Abstract

Good polymer flood performance evaluation requires an understanding of polymer injectivity. Offshore reservoirs are characterized by unfavorable water–oil mobility ratios, strong heterogeneity, and multilayer production, which collectively contribute to unique challenges. Accordingly, this article presents a semi-analytical model for the evaluation of commingled and zonal injectivity in the entire development phase, which consists of primary water flooding, secondary polymer flooding, and subsequent water flooding. First, we define four flow regions with unique saturation profiles in order to accurately describe the fluid dynamic characteristics between the injector and the producer. Second, the frontal advance equation of polymer flooding is built up based on the theory of polymer–oil fractional flow. The fluid saturation distribution and the injection–production pressure difference are determined with the method of equivalent seepage resistance. Then, the zonal flow rate is obtained by considering the interlayer heterogeneity, and the semi-analytical model for calculating polymer injectivity in a multilayer reservoir is established. The laboratory experiment data verify the reliability of the proposed model. The results indicate the following. (1) The commingled injectivity decreases significantly before polymer breakthrough and increases steadily after polymer breakthrough. The change law of zonal injectivity is consistent with that of commingled injectivity. Due to the influence of interlayer heterogeneity, the quantitative indexes of the zonal flow rate and injection performance are different. The injectivity of the high-permeability layer is better than that of the low-permeability layer. (2) The higher the injection rate and the lower the polymer concentration, the better the injectivity is before polymer breakthrough. An earlier injection time, lower injection rate, larger polymer injection volume, and lower polymer concentration will improve the injectivity after polymer breakthrough. The polymer breakthrough time is a significant indicator in polymer flooding optimization. This study has provided a quick and reasonable model of injectivity evaluation for offshore multilayer reservoirs.

Suggested Citation

  • Liang Sun & Baozhu Li & Hanqiao Jiang & Yong Li & Yuwei Jiao, 2019. "An Injectivity Evaluation Model of Polymer Flooding in Offshore Multilayer Reservoir," Energies, MDPI, vol. 12(8), pages 1-21, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:8:p:1444-:d:222959
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    Citations

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    Cited by:

    1. Boris V. Malozyomov & Nikita V. Martyushev & Vladislav V. Kukartsev & Vadim S. Tynchenko & Vladimir V. Bukhtoyarov & Xiaogang Wu & Yadviga A. Tyncheko & Viktor A. Kukartsev, 2023. "Overview of Methods for Enhanced Oil Recovery from Conventional and Unconventional Reservoirs," Energies, MDPI, vol. 16(13), pages 1-48, June.
    2. Leng Tian & Xiaolong Chai & Lei Zhang & Wenbo Zhang & Yuan Zhu & Jiaxin Wang & Jianguo Wang, 2024. "Study on Compatibility Evaluation of Multilayer Co-Production to Enhance Recovery of Water Flooding in Oil Reservoir," Energies, MDPI, vol. 17(15), pages 1-13, July.
    3. Yi Zhang & Jiexiang Wang & Peng Jia & Xiao Liu & Xuxu Zhang & Chang Liu & Xiangwei Bai, 2020. "Viscosity Loss and Hydraulic Pressure Drop on Multilayer Separate Polymer Injection in Concentric Dual-Tubing," Energies, MDPI, vol. 13(7), pages 1-20, April.

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