Fitting the flow rate of different layers of a southern Iranian oil reservoir as the output of E 300 with fluid flow equation and neural network systems

In this study a sector of a southern Iranian layered reservoir is simulated with E300 simulator and then the oil flow rates of different layers is determined by the use of fluid flow equation in the base of PVT data of different fluid samples of reservoir. Two different neural networks (MBP and RBF) to fit the flow rates of different layers are applied, as the MBP is given sensible results. Finally for the other time steps of production, we are given a method that its only essential parameter is the average pressure of any layer