Gathering network, which is usually characterized by various and complex structure, takes a large proportion of the overall construction cost of gas field. Optimization of pipeline routes is an effective way to reduce the investment. In this paper, a novel model for optimal route of pipeline considering complex terrains and obstacles is proposed and solved by Genetic Algorithm. Minimizing the total investment is the object of this model. Since the construction costs under different terrains are different, the distance factor Li, slope factor Di and elastic factor Si are introduced into the objective function to represent the length of the pipeline, the gradient of the pipeline, and the fluctuation of terrain. In addition, the performance of the model is verified by taking three typical situations of different terrains and obstacles as examples. The results illustrate that the proposed model can address the optimal design of pipeline routes in complex terrains. Moreover, the effects of different genetic operators on solutions are investigated, including three selection operators and two crossover operators. The study provides a guideline for designing pipeline routes in complex terrains and is also applicable to the analogous problem.
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ASME 2018 Pressure Vessels and Piping Conference
July 15–20, 2018
Prague, Czech Republic
Conference Sponsors:
- Pressure Vessels and Piping Division
ISBN:
978-0-7918-5162-3
PROCEEDINGS PAPER
Application of Genetic Algorithm on Optimal Pipeline Route Considering Complex Terrains and Obstacles
Bingyuan Hong,
Bingyuan Hong
China University of Petroleum-Beijing, Beijing, China
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Xiaoping Li,
Xiaoping Li
China University of Petroleum-Beijing, Beijing, China
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Yu Li,
Yu Li
China University of Petroleum-Beijing, Beijing, China
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Jingjing Gao,
Jingjing Gao
China University of Petroleum-Beijing, Beijing, China
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Yanhong Zhou,
Yanhong Zhou
China University of Petroleum-Beijing, Beijing, China
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Baocheng Wei,
Baocheng Wei
China University of Petroleum-Beijing, Beijing, China
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Siqi Zhang,
Siqi Zhang
China University of Petroleum-Beijing, Beijing, China
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Jing Gong
Jing Gong
China University of Petroleum-Beijing, Beijing, China
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Bingyuan Hong
China University of Petroleum-Beijing, Beijing, China
Xiaoping Li
China University of Petroleum-Beijing, Beijing, China
Yu Li
China University of Petroleum-Beijing, Beijing, China
Jingjing Gao
China University of Petroleum-Beijing, Beijing, China
Yanhong Zhou
China University of Petroleum-Beijing, Beijing, China
Baocheng Wei
China University of Petroleum-Beijing, Beijing, China
Siqi Zhang
China University of Petroleum-Beijing, Beijing, China
Jing Gong
China University of Petroleum-Beijing, Beijing, China
Paper No:
PVP2018-84272, V03AT03A025; 9 pages
Published Online:
October 26, 2018
Citation
Hong, B, Li, X, Li, Y, Gao, J, Zhou, Y, Wei, B, Zhang, S, & Gong, J. "Application of Genetic Algorithm on Optimal Pipeline Route Considering Complex Terrains and Obstacles." Proceedings of the ASME 2018 Pressure Vessels and Piping Conference. Volume 3A: Design and Analysis. Prague, Czech Republic. July 15–20, 2018. V03AT03A025. ASME. https://doi.org/10.1115/PVP2018-84272
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