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An improved system for evaluating the adaptability of natural gas flooding in enhancing oil recovery considering the miscible ability

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  • Tang, Yong
  • Chen, Yulin
  • He, Youwei
  • Yu, Guangming
  • Guo, Xifeng
  • Yang, Qing
  • Wang, Yong

Abstract

Adaptability evaluation of reservoirs needs to be performed before natural gas flooding. However, the current evaluation methods consider the reservoir pressure and minimum miscible pressure (MMP) as separate parameters to evaluate the miscibility, which ignores the correlation between reservoir pressure and MMP. Also, the effect of reservoir pressure on injectivity is also neglected, while higher pressure than MMP may not improve the miscibility but increase the difficulty of gas injection. Furthermore, evaluation range of each index is inconsistent. Therefore, this paper proposes an improved evaluation system by introducing the miscible ability and optimizing the evaluation criteria to better evaluate the adaptability of natural gas flooding in enhancing oil recovery. The miscible ability is newly defined to evaluate the impact of reservoir pressure on miscibility, and multi-level evaluation model is further developed which includes 12 indexes based on reservoir/fluid/rock properties. The evaluation criteria are established by optimizing parameter intervals. The adaptability of BQ Oil field is assessed using Analytic Hierarchy Process (AHP) and fuzzy evaluation. Field application validates the reliability of the proposed evaluation system. It can be used to quickly evaluate the adaptability of natural gas flooding, which could improve success rate of natural gas flooding and reduce the costs.

Suggested Citation

  • Tang, Yong & Chen, Yulin & He, Youwei & Yu, Guangming & Guo, Xifeng & Yang, Qing & Wang, Yong, 2021. "An improved system for evaluating the adaptability of natural gas flooding in enhancing oil recovery considering the miscible ability," Energy, Elsevier, vol. 236(C).
    • Handle: RePEc:eee:energy:v:236:y:2021:i:c:s0360544221016893
    DOI: 10.1016/j.energy.2021.121441
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    Cited by:

    1. Yan, Zechen & Li, Xiaofang & Zhu, Xu & Wang, Ping & Yu, Shifan & Li, Haonan & Wei, Kangxing & Li, Yan & Xue, Qingzhong, 2023. "MD-CFD simulation on the miscible displacement process of hydrocarbon gas flooding under deep reservoir conditions," Energy, Elsevier, vol. 263(PA).
    2. Zemin Ji & Qun Zhang & Yang Gao & Jing Wang & Chang He & Lu Han & Wenjing Zhao, 2022. "Experimental Study on Conformance Control Using Acidic Nanoparticles in a Heterogeneous Reservoir by Flue Gas Flooding," Energies, MDPI, vol. 16(1), pages 1-12, December.

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