Modelling and Optimisation in the Design of Pipeline Network Systems using Ant Colony Optimisation Algorithm (ACO)

This paper covers the Ant Colony Optimisation Algorithm (ACO) as an optimisation method and discusses and recommends the utilization of the model in design and analysing of varies parameters related in the oil and gas pipeline network systems. This is to achieve the optimum length of the pipeline, pressure and flow rate. Ant Colony Optimisation Algorithm (ACO) is capable of finding minimum path between several paths with their limitations and decreases pipe lengths from the sources to their destinations. It can be used in petroleum and gas refineries, transmissions and distributions lines. The theoretical and mathematical example of Ant Colony Optimisation Algorithm (ACO) between two places were carried and calculated. Optimum length is calculated about۱۰۰ cm with optimum pressure about ۲۴۴۰ psi and flow rate about ۸۳*۱۰۶ m /h An example was designed based on the random variables results from ۱۰ to ۹۶ km for MATLAB Software and ۰.۱ to ۱ km for ANTCOL Software as Stochastic Variables (SV) of length (Km) between ۱۴ stages which may show as 'SV-Matrix = Randi ([۱۰۹۶) , ۱۴)' and Randi ([۰.۱ ۱.۵), ۱۴)”. For each iterations the SV matrixes are showed varies range of integrity. An example was assumed between ۱۴ places with varies range of limitations which will be occurred during a pipeline project (FIG. ۶ as an initially supposition graph) to find minimum path between stages to conclude optimum range of pressure and flow rate of oil and gases based on the optimum minimum paths of pipeline network systems. SV matrixes are used based on the MATLAB Code and ANTCOL software by the CPU core ۲ Duo "Intel” based on the ACO algorithm formulas. The output lines, graphs and diagrams of ACO algorithm are showed the minimum optimum path between ۱۴ stages about ۵۲۶ km with start point from station ۶ and optimum flow-rate ۰.۰۹۸۱۰۶ m۳/hr and pressure drop about ۷۱۴.۶۳۸ bar while ۳.۶۳۱ km as minimum length with optimum flow rate ۱.۵۱۵۴۸۰*۱۰۶ m/hr and pressure drop about ۱۱۹۲.۸۳ bar are found by ANTCAL results. The results proved the ability of ACO algorithm to find the optimum path with its effects on the other importance parameters, especially in the pipeline network systems, distribution and transmission lines and refineries.

کلیدواژه ها:

ACO ، Ant Colony Optimisation Algorithm ، MATLAB ، ANTCOL