Prediction of Minimum Miscibility Pressure for CO2 Flooding Based on Microscopic Pore-Throat Structure

被引:4
|
作者
Jiang, Li-Li [1 ]
Tian, Leng [1 ]
Zhou, Yu-Tao [1 ]
Li, Mei [2 ]
Huang, Can [1 ]
Wang, Jia-Xin [1 ]
Wang, Heng-Li [1 ]
Chai, Xiao-Long [1 ]
机构
[1] China Univ Petr, Sch Petr Engn, State Key Lab Petr Resources & Prospecting, Beijing, Peoples R China
[2] Changqing Oilfield Co, Inst Explorat & Dev, Xian, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
CO2; flooding; MMP; microscopic pore-throat structure; CO2 geological storage; low-permeability reservoir; PERMEABILITY SANDSTONE RESERVOIRS; CONFINED FLUID; OIL-RECOVERY; TIGHT OIL; EQUILIBRIUM; INJECTION; SYSTEMS; WATER; ROCK; EOR;
D O I
10.3389/fenrg.2022.834951
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
CO2 flooding can effectively enhance the recovery of low-permeability reservoirs and realize CO2 geological storage. During the displacement process, the minimum miscible pressure (MMP) of CO2 and oil is an important parameter that affects the displacement effect and storage efficiency. However, the microscopic pore-throat structure of low-permeability reservoirs has significant influences on the fluids and phase behaviors. This paper presented a method to determine the miscible state of CO2 flooding based on the microscopic pore-throat structure. Firstly, a physic model was established to quantitatively characterize the microscopic pore-throat structure. Secondly, taking into consideration the P-R equation of state, the gas-liquid equilibrium in the narrow pore-throat was calculated. On this basis, a MMP prediction model was established correspongdingly by considering the multi-stage contact and mass transfer of CO2-oil. Finally, the results obtained by the proposed model were compared with the experimental results of CO2 flooding, and then the model was applied to the actual reservoir to predict plane distribution of MMP. The curves of MMP distribution and pressure drawdown between wells were combined to determine the position of miscible front and non-miscible area at different production stages. The results have shown that the MMP of core sample calculated by the model was 20.3 MPa, which was comparable to that of CO2 flooding experiment, e.g., 20 MPa, and thus indicatesd a high accuracy of the model. The MMP in the well control area of the Y29-101 well group was 19.8 MPa. During the unsteady flow stage, the miscible-phase front was 430 m from the injection well, while it was 310 m from the injection well during the stable flow stage. This method can accurately determine the specific phase distribution of CO2-oil in the formation, which is of great significance to promote the development of CO2 flooding and storage technology, improve the recovery of low permeability reservoirs, ensure energy supply and reduce carbon emission.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Effect of solution gas in oil on CO2 minimum miscibility pressure
    Dong, M
    Huang, S
    Srivastava, R
    JOURNAL OF CANADIAN PETROLEUM TECHNOLOGY, 2000, 39 (11): : 53 - 61
  • [32] CORRELATION OF MINIMUM MISCIBILITY PRESSURE FOR IMPURE CO2 STREAMS.
    Sebastian, H.M.
    Wenger, R.S.
    Renner, T.A.
    JPT, Journal of Petroleum Technology, 1985, 37 (12): : 2076 - 2082
  • [33] MINIMUM MISCIBILITY PRESSURE OF CO2/HYDROCARBON SYSTEMS WITHIN NANOPORES
    Yang, Gang
    Li, Xiaoli
    PROCEEDINGS OF ASME 2021 40TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING (OMAE2021), VOL 10, 2021,
  • [34] Rapid method to estimate the minimum miscibility pressure (MMP) in live reservoir oil systems during CO2 flooding
    Kamari, Arash
    Arabloo, Milad
    Shokrollahi, Amin
    Gharagheizi, Farhad
    Mohammadi, Amir H.
    FUEL, 2015, 153 : 310 - 319
  • [35] A general regression neural network model offers reliable prediction of CO2 minimum miscibility pressure
    Alomair, Osamah A.
    Garrouch, Ali A.
    JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY, 2016, 6 (03) : 351 - 365
  • [36] Prediction of nitrogen diluted CO2 minimum miscibility pressure for EOR and storage in depleted oil reservoirs
    Wang, Jinjie
    Dong, Mingzhe
    Li, Yajun
    Gong, Houjian
    FUEL, 2015, 162 : 55 - 64
  • [37] An improved method for predicting CO2 minimum miscibility pressure based on artificial neural network
    Dong P.
    Liao X.
    Chen Z.
    Chu H.
    Advances in Geo-Energy Research, 2019, 3 (04): : 355 - 364
  • [38] CO2 MINIMUM MISCIBILITY PRESSURE - A CORRELATION FOR IMPURE CO2 STREAMS AND LIVE OIL SYSTEMS
    ALSTON, RB
    KOKOLIS, GP
    JAMES, CF
    SOCIETY OF PETROLEUM ENGINEERS JOURNAL, 1985, 25 (02): : 268 - 274
  • [39] Performance evaluation of commingled production in a multilayer oil reservoir based on microscopic pore-throat structures
    Wang, Jiaxin
    Tian, Leng
    Wang, Zechuan
    Liu, Zongke
    Wang, Hengli
    Yang, Daoyong
    Chai, Xiaolong
    Huang, Can
    Jiang, Lili
    FUEL, 2023, 348
  • [40] Enhanced Gas Recovery Coupled with CO2 Sequestration in Tight Sandstone Reservoirs with Different Pore-Throat Structures
    Hu, Jiangtao
    Yang, Shenglai
    Yang, Kun
    Deng, Hui
    Wang, Mengyu
    Li, Jiajun
    Gao, Xinyuan
    ENERGY & FUELS, 2024, 38 (13) : 12005 - 12023