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Optimization of ICDs' Port Sizes in Smart Wells Using Particle Swarm Optimization (PSO) Algorithm through Neural Network Modeling
|Journal of Chemical and Petroleum Engineering|
|مقاله 3، دوره 46، شماره 2، اسفند 2012، صفحه 97-109 اصل مقاله (634.81 K)|
|نوع مقاله: Original Paper|
|شناسه دیجیتال (DOI): 10.22059/jchpe.2012.2388|
|Morteza Hassanabadi* 1؛ Seyyed Mahdia Motahhari2؛ Mahdi Nadri Pari2|
|1Amirkabir University of Technology Tehran Polytechnic, Tehran, Iran|
|2Research Institute Of Petroleum Industry, Tehran, Iran|
|Oil production optimization is one of the main targets of reservoir management. Smart well technology gives the ability of real time oil production optimization. Although this technology has many advantages; optimum adjustment or sizing of corresponding valves is still an issue to be solved. In this research, optimum port sizing of inflow control devices (ICDs) which are passive control valves is focused on by designing a neural network to simulate reservoir behavior and applying Particle Swarm Optimization algorithm to find optimum port size for ICDs. Indeed; this work eliminates the need for lots of expensive and time consuming iterations through reservoir simulator. The objective of the work is to maximize the oil production.|
|Inflow control device (ICD)؛ Smart well؛ artificial neural network (ANN)؛ Particle Swarm Optimization (PSO)؛ Optimization|
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