Oil Production Optimization in Smart Wells Using Experimental Design Methodology

The optimization of hydrocarbon produced from the fields is one of the main concerns of the management of oil and gas reservoirs. In this respect, smart well technology developed in recent decades has been used. Among the main challenges of this important technology, one may refer to the optimized planning of intelligent control valves. This paper is based on the results of reservoir simulations, the behavior of smart wells, and use of experimental design Taguchi methods and response surface modeling and procedures are used to obtain and nonlinearly optimize the correlation between intelligent control valve settings and rate of oil production, and therefore to increase the rate of oil production while minimizing the rate of water production and calculation time.