Recent trends in gas pipeline optimization

被引:26
作者
Arya, Adarsh Kumar [1 ]
Jain, Rishi [1 ]
Yadav, Shreyash [1 ]
Bisht, Sachin [1 ]
Gautam, Shashank [1 ]
机构
[1] Univ Petr & Energy Studies, Sch Engn, Dept Chem Engn, Energy Acres Bldg, Dehra Dun 248007, Uttarakhand, India
关键词
Oil and gas; Pipeline networks; Optimization methods; Deterministic methods; Stochastic algorithms; STATE;
D O I
10.1016/j.matpr.2021.11.232
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The pipeline network plays a crucial role in oil and gas transportation because of its safe operation and cheap cost. However, the construction and operation of pipeline networks entail a significant outlay of funds. The oil and gas industry has embraced optimization due to its ability to reduce pipeline costs. Various optimization tasks exist in the pipeline sector at all stages, from design to operation. Previously, most researches have focused on creating successful algorithmic variations to improve certain elements of search capabilities. However, there have been few review articles published, which are essential for engineering solution suppliers. We attempt to address this gap in the article by suggesting a methodology exploited to optimize pipeline operations. A critical review of three recent applications of optimization to the pipeline industry is discussed. The issues, challenges, and possible research paths are also examined. The purpose of the article is to provide pipeline engineers with a road map for understanding and implementing optimization techniques for increased pipeline profitability. Copyright (c) 2022 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Chemical Engineering Conference 2021 (100 Glorious Years of Chemical Engineering & Technology)
引用
收藏
页码:1455 / 1461
页数:7
相关论文
共 29 条
[1]   Multi-objective design optimization of natural gas transmission networks [J].
Alves, Felipe da Silva ;
Miranda de Souza, Jame Neiva ;
Hemerly Costa, Andre Luiz .
COMPUTERS & CHEMICAL ENGINEERING, 2016, 93 :212-220
[2]  
[Anonymous], 1998, PIPELINE OPTIMIZATIO
[3]   Multiobjective optimization of a gas pipeline network: an ant colony approach [J].
Arya, Adarsh Kumar ;
Honwad, Shrihari .
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY, 2018, 8 (04) :1389-1400
[4]   Optimal Operation of a Multi Source Multi Delivery Natural Gas Transmission Pipeline Network [J].
Arya, Adarsh Kumar ;
Honwad, Shrihari .
CHEMICAL PRODUCT AND PROCESS MODELING, 2018, 13 (03)
[5]   Modeling, Simulation, and Optimization of a High-Pressure Cross-Country Natural Gas Pipeline: Application of an Ant Colony Optimization Technique [J].
Arya, Adarsh Kumar ;
Honwad, Shrihari .
JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE, 2016, 7 (01)
[6]  
Benoit A., 2008, 2008 IEEE INT S PARA, P1
[7]   Adaptive genetic algorithm for steady-state operation optimization in natural gas networks [J].
Li C. ;
Jia W. ;
Yang Y. ;
Wu X. .
Journal of Software, 2011, 6 (03) :452-459
[8]   Multi-objective transient peak shaving optimization of a gas pipeline system under demand uncertainty [J].
Chen, Qian ;
Wu, Changchun ;
Zuo, Lili ;
Mehrtash, Mahdi ;
Wang, Yixiu ;
Bu, Yaran ;
Sadiq, Rehan ;
Cao, Yankai .
COMPUTERS & CHEMICAL ENGINEERING, 2021, 147
[9]  
Cobos-Zaleta Diana., 2002, Proceedings of the XI Latin-Ibero-American conference on operations research, P90
[10]   A multi-objective optimization model for gas pipeline operations [J].
Demissie, Alem ;
Zhu, Weihang ;
Belachew, Chanyalew Taye .
COMPUTERS & CHEMICAL ENGINEERING, 2017, 100 :94-103