سال انتشار: ۱۳۸۸

محل انتشار: دومین کنفرانس لوله و صنایع وابسته

تعداد صفحات: ۱۰

نویسنده(ها):

Seyed Jafar Golestaneh – PhD, Candidate, Industrial Engineering
Napsiah bt Ismail – PhD, Mechanical Engineering
Tang Sai Hong – PhD, Mechanical Engineering
Hassan Moslemi Naeini – PhD, Mechanical Engineering

چکیده:

Oil and gas Pipelines maintenance activities are very important to increase reliability of pipelines system. New technical tools are applied in maintenance management system (MMS) of oil and gas pipelines. One of the most exclusive and powerful of them is Artificial Intelligence (AI) techniques. These tools are employed to modeling of Pipelines MMS and optimize the efficiency of the system. Surveying some new papers in recent years shows that application of AI in MMS is used in two major fields, Prediction of time series, and Fault diagnosis and detection. Iran as a country with biggest pipeline network of the Middle East and its strategic placement in the region, for energy market of Europe and Central and South Asia could apply and profit from AI techniques in pipelines MMS.This article reviews these applications and expresses new fields of AI employment in gas and oil pipelines MMS.