A mathematical model for microbial enhanced oil recovery considering reservoir environment and microbial factor

被引:0
作者
Wang T. [1 ,2 ,3 ]
Xiu J. [3 ]
Huang L. [3 ]
Cui Q. [3 ]
Ma Y. [3 ]
Miao J. [4 ]
Yu L. [3 ]
机构
[1] University of Chinese Academy of Sciences, Beijing
[2] Institute of Porous Flow and Fluid Mechanics, University of Chinese Academy of Sciences, Langfang, 065007, Hebei
[3] Research Institute of Petroleum Exploration and Development, Langfang, 065007, Hebei
[4] School of Petroleum Engineering, Yangtze University, Wuhan, 430071, Hubei
来源
Shiyou Xuebao/Acta Petrolei Sinica | 2019年 / 40卷 / 04期
关键词
Mathematical model; Microbe; Microbial enhanced oil recovery; Microbial factor; Reservoir environment;
D O I
10.7623/syxb201904006
中图分类号
学科分类号
摘要
In this study, a 3D three-phase six-component mathematical model is established to fully reflect the microbial flooding process. The components of this model involve oil, gas, water, microbes, nutrients and metabolites. The model comprehensively involves such properties as microbial growth/death, nutrient consumption, metabolite production, chemotaxis, convection-diffusion, oil viscosity reduction, adsorption, desorption and oil-water interfacial tension change. Considering the effect of reservoir environmental factors on the microbial growth model and inconsistent growth rate of microbes on the ground and underground, the microbial growth kinetics equation is improved on a basis of Monod model. Meanwhile, in order to reflect the effect of bacteria on microbial flooding, a microbial factor is introduced into the mechanism of microbial flooding. Based on case studies, this paper conducts an analysis of the microbial growth model, microbe-nutrient mixed solution injection, environmental inhibition coefficient, maximum specific growth rate and microbial factors. The results show that the metabolite concentration calculated by the improved microbial growth kinetics equation is lower than that of Monod model, but the difference in metabolite concentration obtained using the two microbial growth equations has less effect on final oil recovery. With an increase in the injection amount of microbe-nutrient mixed solution, the difference in metabolite concentration and oil recovery in these two microbial growth equations will be improved. The microbial factor has a great impact on microbial flooding, and the absolute error under different microbial factors in oil recovery can reach up to 24.53%. © 2019, Editorial Office of ACTA PETROLEI SINICA. All right reserved.
引用
收藏
页码:448 / 456
页数:8
相关论文
共 26 条
  • [1] Lei G., The research and application of microbial enhanced oil recovery, Acta Petrolei Sinica, 22, 2, pp. 56-61, (2001)
  • [2] Bryant S.L., Lockhart T.P., Reservoir engineering analysis of microbial enhanced oil recovery, SPE Reservoir Evaluation & Engineering, 5, 5, pp. 365-374, (2002)
  • [3] Sivasankar P., Govindarajan S.K., Numerical modelling of microbial enhanced oil recovery process under the effect of reservoir temperature, pH and microbial sorption kinetics, (2015)
  • [4] Chang M.M., Chung F.T.H., Bryant R.S., Et al., Modeling and laboratory investigation of microbial transport phenomena in porous media, (1991)
  • [5] Nielsen S.M., Shapiro A., Michelsen M.L., Et al., Mathematical model for microbial enhanced oil recovery with surfactant distributed between phases, 30th IEA-EOR Conference, (2009)
  • [6] Lei G., Chen Y., A mathematical model of microbial enhanced oil recovery, Petroleum Exploration and Development, 27, 3, pp. 47-49, (2000)
  • [7] Zhu W., Yang Z., Chi L., Et al., A microbial transport compositional model simulator, Petroleum Exploration and Development, 27, 3, pp. 44-46, (2000)
  • [8] Nielsen S.M., Shapiro A.A., Michelsen M.L., Et al., 1D simulations for microbial enhanced oil recovery with metabolite partitioning, Transport in Porous Media, 85, 3, pp. 785-802, (2010)
  • [9] Sivasankar P., Kumar G.S., Numerical modelling of enhanced oil recovery by microbial flooding under non-isothermal conditions, Journal of Petroleum Science and Engineering, 124, pp. 161-172, (2014)
  • [10] Sivasankar P., Kanna A.R., Kumar G.S., Et al., Numerical modelling of biophysicochemical effects on multispecies reactive transport in porous media involving Pseudomonas putida for potential microbial enhanced oil recovery application, Bioresource Technology, 211, pp. 348-359, (2016)