An Inversion Method of Relative Permeability Curves in Polymer Flooding Considering Physical Properties of Polymer
- Yongge Liu (China University of Petroleum (East China)) | Jian Hou (China University of Petroleum (East China)) | Lingling Liu (China University of Petroleum (East China)) | Kang Zhou (China University of Petroleum (East China)) | Yanhui Zhang (Tianjin Bohai Oilfield Institute) | Tao Dai (Sinopec Shengli Oilfield Company) | Lanlei Guo (Sinopec Shengli Oilfield Company) | Weidong Cao (Sinopec Shengli Oilfield Company)
- Document ID
- Society of Petroleum Engineers
- SPE Journal
- Publication Date
- October 2018
- Document Type
- Journal Paper
- 1,929 - 1,943
- 2018.Society of Petroleum Engineers
- numerical inversion, cubic-spline, relative permeability curve, polymer flooding
- 5 in the last 30 days
- 234 since 2007
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Reliable relative permeability curves of polymer flooding are of great importance to the history matching, production prediction, and design of the injection and production plan. Currently, the relative permeability curves of polymer flooding are obtained mainly by the steady-state, nonsteady-state, and pore-network methods. However, the steady-state method is extremely time-consuming and sometimes produces huge errors, while the nonsteady-state method suffers from its excessive assumptions and is incapable of capturing the effects of diffusion and adsorption. As for the pore-network method, its scale is very small, which leads to great size differences with the real core sample or the field. In this paper, an inversion method of relative permeability curves in polymer flooding is proposed by combining the polymer-flooding numerical-simulation model and the Levenberg-Marquardt (LM) algorithm. Because the polymer-flooding numerical-simulation model by far offers the most-complete characterization of the flowing mechanisms of polymer, the proposed method is able to capture the effects of polymer viscosity, residual resistance, diffusion, and adsorption on the relative permeability. The inversion method was then validated and applied to calculate the relative permeability curve from the experimental data of polymer flooding. Finally, the effects of the influencing factors on the inversion error were analyzed, through which the inversion-error-prediction model of the relative permeability curve was built by means of multivariable nonlinear regression. The results show that the water relative permeability in polymer flooding is still far less than that in waterflooding, although the residual resistance of the polymer has been considered in the numerical-simulation model. Moreover, the accuracy of the polymer parameters has great effect on that of the inversed relative permeability curve, and errors do occur in the inversed water relative permeability curve—the measurements of the polymer solution viscosity, residual resistance factor, inaccessible pore-volume (PV) fraction, or maximum adsorption concentration have errors.
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