Assessing and optimization of pipeline system performance using intelligent systems, By Rezvan MohammadiBaghmolaei

Research

Title	Assessing and optimization of pipeline system performance using intelligent systems
Type	Article
Keywords	Optimization Pipeline system Fuel consumption ANN ANFIS FIS
Journal	Journal of Natural Gas Science and Engineering
DOI	10.1016/j.jngse.2014.01.017
Researchers	Mohamad Mohamadi-Baghmolaei (First researcher) , Mohamad Mahmoudy (Second researcher) , Dariush Jafari (Third researcher) , Rezvan MohammadiBaghmolaei (Fourth researcher) ,

Abstract

The fuel consumption minimization of a pipeline system including boosting units has been investigated in this paper. Virial equation of state has been used to study steady state non-isothermal flow of natural gas. Due to the complexity of mentioned equations and requirement time to study the different operating states, intelligent systems including Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy inference System (ANFIS), and Fuzzy Inference System (FIS) are applied to predict and optimize the pipeline system. As a case study, IGAT 5 pipeline with four compressor stations is chosen to be explored which transports the natural gas from Asalouyeh (South Pars Energy Zone-IRAN) for oil well injection purposes. The results have shown that ANN is slightly more accurate than the other two predictive methods. Therefore ANN results are introduced to Genetic Algorithm (GA) to determine the optimum speed of each compressor and their compression ratio.