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

گواهی نمایه سازی مقاله Application of Hybrid Genetic Algorithm (HGA) For Optimization of Gas Allocation to a Group of Wells in Gas Lift in One of the Iranian Oil Field

عنوان مقاله: Application of Hybrid Genetic Algorithm (HGA) For Optimization of Gas Allocation to a Group of Wells in Gas Lift in One of the Iranian Oil Field
شناسه (COI) مقاله: IPEC03_069
منتشر شده در سومین کنگره ملی مهندسی نفت در سال ۱۳۹۰
مشخصات نویسندگان مقاله:

M. Ghaedi - Chemical and Petroleum Department, Sharif University of Technology, Tehran, Iran
B. Aminshahidy - Institute of Petroleum Engineering, University of Tehran, Tehran, Iran
S Ghotbi - Chemical and Petroleum Department, Sharif University of Technology, Tehran, Iran

خلاصه مقاله:
In this work a hybrid genetic algorithm (HGA) was introduced to allocate optimum amount of gas to a group of wells in gas lift in the case of availability limited amount of gas. By comparing the result of the proposed HGA with those of previous works in a field with 6 wells, the ability of the proposed HGA was tested. Then for an Iranian southern west oil field with 9 wells, under conditions that different amounts of gas are available, the gas allocated to the wells.

کلمات کلیدی:
Gas lift, gas allocation, optimization, genetic algorithm

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-IPEC03-IPEC03_069.html