Numerical Simulation of Gas Injection for Stable Gravity Combination Flooding After Polymer Flooding

2018 ◽  
Author(s):  
Ming Gao ◽  
Qiang Wang ◽  
Desheng Ma ◽  
Wanlu Liu ◽  
Zhaoxia Liu ◽  
...  
2013 ◽  
Vol 71 ◽  
pp. 65-82 ◽  
Author(s):  
Wolfgang Dahmen ◽  
Thomas Gotzen ◽  
Sorana Melian ◽  
Siegfried Müller

2020 ◽  
Author(s):  
Elina Mirsayanova ◽  
Ilnur Ilyasov ◽  
Alexander Cheremisin ◽  
Margarita Evseeva ◽  
Alexey Cheremisin

2014 ◽  
Vol 584-586 ◽  
pp. 1761-1767
Author(s):  
Li Yang Song ◽  
Ji Cheng Zhang

According to the feature of the second oil layer in the west block of Beierxi, this paper investigated the relationship between the permeability contrast and the recovery efficiency, and the relationship between the permeability contrast and the descent range of water cut of polymer flooding, using the numerical simulation. From the comparative analysis of the development effect with different methods of polymer-injection, it got the boundary of the interlayer permeability contrast of the positive and inverted rhythm layer in the second oil layer with the separated zone and separated quality polymer-injection respectively. That provided certain theoretical foundation for carrying on the polymer flooding in the region of interest.


SPE Journal ◽  
2018 ◽  
Vol 23 (05) ◽  
pp. 1929-1943 ◽  
Author(s):  
Yongge Liu ◽  
Jian Hou ◽  
Lingling Liu ◽  
Kang Zhou ◽  
Yanhui Zhang ◽  
...  

Summary 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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