Optimal operation scheme of oil pipeline based on genetic algorithm

Jianlin Ma; Jun Liang; Shunyong Li; Shuguang Han

doi:10.1117/12.2639533

19 May 2022 Optimal operation scheme of oil pipeline based on genetic algorithm

Jianlin Ma, Jun Liang, Shunyong Li, Shuguang Han

Proceedings Volume 12250, International Symposium on Computer Applications and Information Systems (ISCAIS 2022); 1225002 (2022) https://doi.org/10.1117/12.2639533
Event: International Symposium on Computer Applications and Information Systems (ISCAIS2022), 2022, Shenzhen, China

Abstract

Most of the crude oil produced in China is easily condensable with high viscosity, and the pipeline transportation method is mostly heating transportation. The energy consumption of this transportation method mainly comes from the heating furnace and the pump. To reduce energy consumption and find the optimal steady-state operation scheme of oil pipelines, this paper takes a crude oil pipeline as a practical case based on Matlab software, establishes a mathematical model for optimal operation of oil pipelines, and uses a genetic algorithm to solve the model. The results show that the genetic algorithm is featured by fast convergence rate and short optimization time, and can obtain the optimal scheme. Compared with the actual operation scheme, the optimal one can reduce energy consumption by 13.03%, which indicates that the model and method established in this paper have strong applicability.

Citation Download Citation

Jianlin Ma, Jun Liang, Shunyong Li, and Shuguang Han "Optimal operation scheme of oil pipeline based on genetic algorithm", Proc. SPIE 12250, International Symposium on Computer Applications and Information Systems (ISCAIS 2022), 1225002 (19 May 2022); https://doi.org/10.1117/12.2639533

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