Early water or gas breakthrough is usually encountered due to an imbalanced production profile. Once water or gas coning occurs in horizontal wells, the flow rate in the coning zone will be high because of the low viscosity of water and gas and the flow in the other zone will be hindered. Inflow control devices (ICD) can enhance the reservoir sweep efficiency and oil recovery. Hence, ICD stability and selection is crucial for well production. However, current ICD selection for a specific reservoir mainly depends on the qualitative awareness of both the reservoir conditions and the ICD performance. Based on CFD simulation, this paper proposed an ICD selection method, which considers the fluid property sensitivity, plugging and erosion resistances and combines fuzzy evaluation and dynamic weight theory. The results show that ICD selection mainly depends on the viscosity sensitivity, flow rate, and cross section area of the ICDs. An ICD selection diagram is built with the comparison of optimal membership degrees of three designs at varying reservoir conditions. The optimal ICD can be selected immediately with the help of the ICD selection diagram once reservoir conditions are determined.
inflow control device (ICD) selection numerical simulation fuzzy evaluation dynamic weight theory