Research on structural optimization of low viscosity automatic inflow controller

The study on AICD structure optimization is an ongoing research issue. Reasonable structural is conducive to improve the water control performance of the device. However, the existing structural optimization methods ignore the influence of multiple factors. In order to further improve the water control effect, a low viscosity AICD was designed, and the orthogonal test was introduced to optimize its structure. The optimal structure of AICD under different viscosity conditions was defined. The significant degree of each structure on the water control performance was clarified. The influence law on the flow field distribution in AICD by the change of structure parameters was revealed by visualizing pressure and streamline field. The water control performance of original model and optimization model was analyzed and evaluated by the water-oil pressure loss difference. The results showed that the optimal structure of AICD changes under different viscosity conditions. The outlet diameter is the most influential factor. Reducing the outlet diameter is beneficial to increasing the rotational distance of the fluid in the disk and enlarging the water-oil pressure loss difference. Distributary channel width is a secondary factor. The reasonable size contributes to improve the water split ratio in the annular channel. There is a certain correlation between the intake angle and the oil viscosity. It is recommended to adopt a large intake angle in the case of high oil viscosity. The water-oil pressure loss difference of the AICD obtained by orthogonal test under different conditions is improved by two times compared with that before optimization. It can be seen that the optimization of AICD by orthogonal test greatly improves the water control performance of the device.

Automated summary

The ongoing research on AICD structure optimization aims to improve the water control performance of the device. By designing a low viscosity AICD and using orthogonal test, the structure was optimized and the influence of structure parameters on the flow field distribution in AICD was revealed. The water control performance of the optimized AICD was significantly improved compared to the original model under different conditions, as demonstrated by the analysis of water-oil pressure loss difference.