Multi-objective optimization for erosion protection of wear-prone components based on optimal prediction model
In the field of shale gas extraction, vulnerable components such as gas extraction pipeline elbows and needle throttle valves are frequently subjected to severe erosive wear due to gas-solid two-phase flow, which often leads to serious production accidents. To address this challenge, this paper prop...
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| Vydané v: | Flow measurement and instrumentation Ročník 107; s. 103080 |
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| Hlavní autori: | , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier Ltd
01.01.2026
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| ISSN: | 0955-5986 |
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| Abstract | In the field of shale gas extraction, vulnerable components such as gas extraction pipeline elbows and needle throttle valves are frequently subjected to severe erosive wear due to gas-solid two-phase flow, which often leads to serious production accidents. To address this challenge, this paper proposes a collaborative optimization method integrates machine learning with multi-objective optimization. The erosion characteristics of elbows and needle throttle valves subjected to gas-solid two-phase flow are analyzed, and a high-precision erosion rate prediction model is established based on a data-driven approach. On this basis, a multi-objective optimization framework is constructed. The framework aims to minimize the erosion rate of elbows and achieve a weighted erosion balance in the needle throttling valve area. The control variables used are valve opening, inlet velocity, and particle mass flow rate. By incorporating process constraints (including the feasible domain of parameters and system pressure drop limitations), the engineering feasibility of the optimization results is ensured. The improved NSGA-II algorithm and the Epsilon constraint method are employed to solve the model, yielding the Pareto optimal solution set and optimization results that meet the constraint conditions. The results show that the optimized parameter combinations can significantly reduce the erosion rate of vulnerable components, extend their service life, and meet the requirements of system operating efficiency. This study provides a scientific basis and optimization strategy for the erosion protection of vulnerable components in gas production pipelines, holding significant engineering application value.
•Multi-objective optimal design of erosion protection for elbows and valves.•Selection of the best combination of predictive models and protection parameters.•Effective solution sets using NSGA-II and Epsilon algorithms.•Extending the service life of gas production line wear parts. |
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| AbstractList | In the field of shale gas extraction, vulnerable components such as gas extraction pipeline elbows and needle throttle valves are frequently subjected to severe erosive wear due to gas-solid two-phase flow, which often leads to serious production accidents. To address this challenge, this paper proposes a collaborative optimization method integrates machine learning with multi-objective optimization. The erosion characteristics of elbows and needle throttle valves subjected to gas-solid two-phase flow are analyzed, and a high-precision erosion rate prediction model is established based on a data-driven approach. On this basis, a multi-objective optimization framework is constructed. The framework aims to minimize the erosion rate of elbows and achieve a weighted erosion balance in the needle throttling valve area. The control variables used are valve opening, inlet velocity, and particle mass flow rate. By incorporating process constraints (including the feasible domain of parameters and system pressure drop limitations), the engineering feasibility of the optimization results is ensured. The improved NSGA-II algorithm and the Epsilon constraint method are employed to solve the model, yielding the Pareto optimal solution set and optimization results that meet the constraint conditions. The results show that the optimized parameter combinations can significantly reduce the erosion rate of vulnerable components, extend their service life, and meet the requirements of system operating efficiency. This study provides a scientific basis and optimization strategy for the erosion protection of vulnerable components in gas production pipelines, holding significant engineering application value.
•Multi-objective optimal design of erosion protection for elbows and valves.•Selection of the best combination of predictive models and protection parameters.•Effective solution sets using NSGA-II and Epsilon algorithms.•Extending the service life of gas production line wear parts. |
| ArticleNumber | 103080 |
| Author | Cen, Xiao Du, Shengnan Zhang, Miaomiao Wang, Weiqiang Wei, Jin Hong, Bingyuan Hong, Siyan Li, Fei Wang, Minjuan |
| Author_xml | – sequence: 1 givenname: Minjuan surname: Wang fullname: Wang, Minjuan organization: National & Local Joint Engineering Research Center of Harbor Oil & Gas Storage and Transportation Technology, Zhejiang Key Laboratory of Petrochemical Environmental Pollution Control, Zhejiang Key Laboratory of Pollution Control for Port-Petrochemical Industry, School of Petrochemical Engineering & Environment, Zhejiang Ocean University, Zhoushan, 316022, China – sequence: 2 givenname: Xiao surname: Cen fullname: Cen, Xiao organization: National & Local Joint Engineering Research Center of Harbor Oil & Gas Storage and Transportation Technology, Zhejiang Key Laboratory of Petrochemical Environmental Pollution Control, Zhejiang Key Laboratory of Pollution Control for Port-Petrochemical Industry, School of Petrochemical Engineering & Environment, Zhejiang Ocean University, Zhoushan, 316022, China – sequence: 3 givenname: Shengnan surname: Du fullname: Du, Shengnan organization: College of Mechanical and Automotive Engineering, Ningbo University of Technology, Ningbo, 315211, China – sequence: 4 givenname: Miaomiao surname: Zhang fullname: Zhang, Miaomiao organization: National & Local Joint Engineering Research Center of Harbor Oil & Gas Storage and Transportation Technology, Zhejiang Key Laboratory of Petrochemical Environmental Pollution Control, Zhejiang Key Laboratory of Pollution Control for Port-Petrochemical Industry, School of Petrochemical Engineering & Environment, Zhejiang Ocean University, Zhoushan, 316022, China – sequence: 5 givenname: Fei surname: Li fullname: Li, Fei organization: Sinopec Sales Co., LTD. Zhejiang Quzhou Petroleum Branch, Quzhou, 324000, China – sequence: 6 givenname: Jin surname: Wei fullname: Wei, Jin organization: National & Local Joint Engineering Research Center of Harbor Oil & Gas Storage and Transportation Technology, Zhejiang Key Laboratory of Petrochemical Environmental Pollution Control, Zhejiang Key Laboratory of Pollution Control for Port-Petrochemical Industry, School of Petrochemical Engineering & Environment, Zhejiang Ocean University, Zhoushan, 316022, China – sequence: 7 givenname: Siyan surname: Hong fullname: Hong, Siyan organization: National & Local Joint Engineering Research Center of Harbor Oil & Gas Storage and Transportation Technology, Zhejiang Key Laboratory of Petrochemical Environmental Pollution Control, Zhejiang Key Laboratory of Pollution Control for Port-Petrochemical Industry, School of Petrochemical Engineering & Environment, Zhejiang Ocean University, Zhoushan, 316022, China – sequence: 8 givenname: Weiqiang surname: Wang fullname: Wang, Weiqiang email: 20240008@zjou.edu.cn organization: National & Local Joint Engineering Research Center of Harbor Oil & Gas Storage and Transportation Technology, Zhejiang Key Laboratory of Petrochemical Environmental Pollution Control, Zhejiang Key Laboratory of Pollution Control for Port-Petrochemical Industry, School of Petrochemical Engineering & Environment, Zhejiang Ocean University, Zhoushan, 316022, China – sequence: 9 givenname: Bingyuan orcidid: 0000-0002-4281-3902 surname: Hong fullname: Hong, Bingyuan email: hongby@zjou.edu.cn organization: National & Local Joint Engineering Research Center of Harbor Oil & Gas Storage and Transportation Technology, Zhejiang Key Laboratory of Petrochemical Environmental Pollution Control, Zhejiang Key Laboratory of Pollution Control for Port-Petrochemical Industry, School of Petrochemical Engineering & Environment, Zhejiang Ocean University, Zhoushan, 316022, China |
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| Keywords | NSGA-II algorithm Multi-objective optimization Epsilon constraint method Erosion |
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