Javid Haddad - National Iranian Oil Company (NIOC), Pars Oil and Gas Company (POGC), South Pars Gas Field Development Phases ۱۷&۱۸, Assaluye, Iran
Reza Mosayebi Behbahani - Department of Gas Engineering, Petroleum University of Technology (PUT), Ahwaz, Iran
Mohammadreza Shishesaz - Department of Technical Inspection, Petroleum University of Technology, Abadan, Iran

Arguably, the natural gas transmission pipeline infrastructure in Iran represents one of the largest andmost complex mechanical systems in the world. The optimization of large gas trunk lines known asIGAT results in reduced fuel consumption or higher capability and improves pipeline operation. In thecurrent study, a single-objective optimization was conducted for Khormoj compressor station on theIranian gas trunk line V (IGAT5). The system consists of over 504 kilometers of 56-inch pipelinefrom South Pars to Aghajari. This system passes through a tortuous terrain with changes in elevationwhich makes the optimization process even more challenging. Genetic algorithm (GA) was used inthis optimization along with detailed models of the performance characteristics of compressors. Theresults show that in stations having the same compressor in parallel the minimum power (energy)consumption is reached when split flow in all the compressors is the same.

Compressor Station, Single and Multi-objective Optimization, Genetic Algorithm