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International Journal of Chemical Engineering
Volume 2017 (2017), Article ID 1640303, 9 pages
Research Article

Route Optimization of Pipeline in Gas-Liquid Two-Phase Flow Based on Genetic Algorithm

1Southwest Petroleum University, Chengdu 610500, China
2China National Petroleum Corporation Guangzhou Petroleum Training Center, Guangzhou 510510, China
3China University of Petroleum (Beijing), Beijing 102249, China

Correspondence should be addressed to Jun Zhou and Guangchuan Liang

Received 23 October 2016; Accepted 13 December 2016; Published 19 January 2017

Academic Editor: Jose Alberto Romagnoli

Copyright © 2017 Jun Zhou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper describes the problems in route optimization of two-phase pipelines. Combining the hydraulic calculation with route optimization theory, this paper establishes an automatic route optimization model and adopts the general genetic algorithm (gGA) and steady-state genetic algorithm (ssGA) to solve the model, respectively, gets the optimal route, and discusses the influence of parameters setting to the result. This algorithm was applied in determining pipelines routes in coalbed methane gathering and transporting system in Shanxi Province, China. The result shows that the algorithm is feasible, which improves the hydraulic properties by reducing the pressure drop along the line while the pipeline length is still acceptable.