Optimization of ICDs' Port Size in Smart Wells Using Particle Swarm Optimization (PSO) Algorithm through Neural Network Modeling

Document Type : Research Article

Authors

1 Amirkabir University of Technology, Tehran, I.R. IRAN

2 Research Institute of Petroleum Industry (RIPI), Tehran, I.R. IRAN

Abstract

Oil production optimization is one of the main targets of reservoir management. Smart well technology gives ability of real time oil production optimization. Although this technology has many advantages; optimum adjustment or sizing of corresponding valves is its issue. In this research optimum sizing of ICDs which are passive control valves has been focused on by designing a neural network to simulate reservoir behavior and applying Particle Swarm Optimization (PSW) algorithm to find optimum port size for ICDs. Indeed; this work eliminates the need for lots of expensive and time consuming iteration through reservoir simulator. The achieved objectives of the work were oil production maximization and water production minimization.  

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References

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