Abstract
According to the research theory of improved black oil simulator, a practical mathematical model for CO2 miscible flooding was presented. In the model, the miscible process simulation was realized by adjusting oil/gas relative permeability and effective viscosity under the condition of miscible flow. In order to predict the production performance fast, streamline method is employed to solve this model as an alternative to traditional finite difference methods. Based on streamline distribution of steady-state flow through porous media with complex boundary confirmed with the boundary element method (BEM), an explicit total variation diminishing (TVD) method is used to solve the one-dimensional flow problem. At the same time, influences of development scheme, solvent slug size, and injection periods on CO2 drive recovery are discussed. The model has the advantages of less information need, fast calculation, and adaptation to calculate CO2 drive performance of all kinds of patterns in a random shaped porous media with assembly boundary. It can be an effective tool for early stage screening and reservoir dynamic management of the CO2 miscible oil field.
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References
LI Shi-lun, GUO Ping, DAI Lei et al. Strengthen gas injection for enhanced oil recovery[J]Journal of Southwest Petroleum Institute, 2000,22(3):41–45. (in Chinese)
Nghiem L X, Fong D K, Aziz K. Compositional modeling with an equation of state[J].Society of Petroleum Engineering Journal, 1981,21(12):687–698.
Larson R G. Controlling numerical dispersion by timed flux updating in one dimension[J].Society of Petroleum Engineering Journal, 1980,20(6):399–408.
Koval E J. A method for predicting the performance of unstable miscible displacement in heterogeneous media[J].Society of Petroleum Engineering Journal, 1963,3(6):145–154.
Todd M R, Longstaff W J. The development, testing, and application of a numerical simulator for predicting miscible flood performance[J].Journal of Petroleum Technology, 1972,24(7):874–882.
Thiele M R, Batycky R P, Blunt M J. A streamline-based 3D field-scale compositional reservoir simulator[A]. In:the SPE Annual Technical Conference and Exhibition[C]. SPE 38889, San Antonio, 1997, 471–482.
Prieditis J, Brugman R J. Effects of recent relative permeability data on CO2 flood modeling[A]. In:the 68 th Annual Technical Conference and Exhibition of SPE[C]. SPE 26650, Houston, Texas, 1993, 467–481.
Stone H L. Estimation of three-phase relative permeability and residual oil data[J].Journal of Canadian Petroleum Technology, 1973,12(4):53–61.
HOU Jian, WANG Yu-dou, CHEN Yue-ming. Research on streamline distribution of flow through porous media with complex boundary[J].Chinese Journal of Computational Mechanics, 2003,20 (3):335–338, 345. (in Chinese)
Rubin B, Edwards M. Extension of the TVD midpoint scheme to higher-order accuracy in time[A]. In:the 12th SPE Symposium on Reservoir Simulation[C]. SPE 25265, New Orleans, 1993, 375–385.
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Communicated by LIN Jian-zhong
Foundation item: the National Key Basic Research “973” Project (G19990225)
Biography: HOU Jian (1972∼), Lecturer, Doctor
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Jian, H. Streamline-based mathematical model for CO2 miscible flooding. Appl Math Mech 25, 694–702 (2004). https://doi.org/10.1007/BF02438213
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DOI: https://doi.org/10.1007/BF02438213