LAPSE:2023.26756
Published Article
LAPSE:2023.26756
The Numerical Simulation Study of the Oil−Water Seepage Behavior Dependent on the Polymer Concentration in Polymer Flooding
Qiong Wang, Xiuwei Liu, Lixin Meng, Ruizhong Jiang, Haijun Fan
April 3, 2023
Abstract
It is well acknowledged that due to the polymer component, the oil−water relative permeability curve in polymer flooding is different from the curve in waterflooding. As the viscoelastic properties and the trapping number are presented for modifying the oil−water relative permeability curve, the integration of these two factors for the convenience of simulation processes has become a key issue. In this paper, an interpolation factor Ω that depends on the normalized polymer concentration is firstly proposed for simplification. Then, the numerical calculations in the self-developed simulator are performed to discuss the effects of the interpolation factor on the well performances and the applications in field history matching. The results indicate that compared with the results of the commercial simulator, the simulation with the interpolation factor Ω could more accurately describe the effect of the injected polymer solution in controlling water production, and more efficiently simplify the combination of factors on relative permeability curves in polymer flooding. Additionally, for polymer flooding history matching, the interpolation factor Ω is set as an adjustment parameter based on core flooding results to dynamically consider the change of the relative permeability curves, and has been successfully applied in the water cut matching of the two wells in Y oilfield. This investigation provides an efficient method to evaluate the seepage behavior variation of polymer flooding.
Keywords
flow mechanism, numerical simulation, polymer flooding
Suggested Citation
Wang Q, Liu X, Meng L, Jiang R, Fan H. The Numerical Simulation Study of the Oil−Water Seepage Behavior Dependent on the Polymer Concentration in Polymer Flooding. (2023). LAPSE:2023.26756
Author Affiliations
Wang Q: State Key Laboratory of Offshore Oil Exploitation, Beijing 100028, China; School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
Liu X: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
Meng L: Dagang Oilfield Company, PetroChina, Tianjin 300280, China
Jiang R: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
Fan H: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
Journal Name
Energies
Volume
13
Issue
19
Article Number
E5125
Year
2020
Publication Date
2020-10-01
ISSN
1996-1073
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PII: en13195125, Publication Type: Journal Article
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https://doi.org/10.3390/en13195125
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