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Application of New Water Flooding Characteristic Curve in the High Water-Cut Stage of an Oilfield

Xi Zhang1, Changquan Wang1,*, Hua Wu2, Xu Zhao2

1 School of Petroleum Engineering, Yangtze University, Wuhan, 430100, China
2 Exploration and Development Research Institute of Jianghan Oilfield Company of Sinopec, Wuhan, 430223, China

* Corresponding Author: Changquan Wang. Email: email

(This article belongs to this Special Issue: Meshless, Mesh-Based and Mesh-Reduction Methods Based Analysis of Fluid Flow in Porous Media)

Fluid Dynamics & Materials Processing 2022, 18(3), 661-677.


The oil production predicted by means of the conventional water-drive characteristic curve is typically affected by large deviations with respect to the actual value when the so-called high water-cut stage is entered. In order to solve this problem, a new characteristic relationship between the relative permeability ratio and the average water saturation is proposed. By comparing the outcomes of different matching methods, it is verified that it can well reflect the variation characteristics of the relative permeability ratio curve. Combining the new formula with a reservoir engineering method, two new formulas are derived for the water flooding characteristic curve in the high water-cut stage. Their practicability is verified by using the production data of Mawangmiao and Xijiakou blocks. The results show that the error between the predicted cumulative oil production and production data of the two new water drive characteristic curves is less than the error between the B-type water drive characteristic curve and the other two water drive characteristic curves. It is concluded that the two new characteristic curves can be used to estimate more accurately the recoverable reserves, the final recovery and to estimate the effects of water flooding


Cite This Article

Zhang, X., Wang, C., Wu, H., Zhao, X. (2022). Application of New Water Flooding Characteristic Curve in the High Water-Cut Stage of an Oilfield. FDMP-Fluid Dynamics & Materials Processing, 18(3), 661–677.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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