Hadi Ghorbani - No. ۵۴, Golha alley , Hakim Zahed Street, Shadmand Square , Shahreza ,Isfahan, Iran
S.A Tabatabaei Nezhad - Sahand university of technology, Tabriz.
M.S Azimifar - Polytechnic university of Tehran, Tehran, Iran.
Gholamreza Bashiri - Research institute of petroleum industry, Tehran.

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

layered reservoir- E300 simulator- flow rates of different layers- neural network- MBP- average pressure