CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

گواهی نمایه سازی مقاله 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

عنوان مقاله: 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
شناسه (COI) مقاله: IPEC03_190
منتشر شده در سومین کنگره ملی مهندسی نفت در سال ۱۳۹۰
مشخصات نویسندگان مقاله:

Hadi Ghorbani - No. 54, 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.

خلاصه مقاله:
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

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

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-IPEC03-IPEC03_190.html