Integral Layout Optimization of Subsea Production Control System Considering Three-Dimensional Space Constraint
The subsea production control system, characterized by a complex and diverse structure and high cost, is one of the essential parts of a subsea production system. The rational layout of the subsea production control system is essential to reduce development costs and ensure safe production in offsho...
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| Published in: | Processes Vol. 9; no. 11; p. 1947 |
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| Abstract | The subsea production control system, characterized by a complex and diverse structure and high cost, is one of the essential parts of a subsea production system. The rational layout of the subsea production control system is essential to reduce development costs and ensure safe production in offshore fields. Most previous studies on layout design in offshore fields have focused on the oil- and gas-gathering system. However, the layout of the subsea production control system has not thoroughly been researched to date and the seabed terrain and integral optimization have rarely been discussed. This paper focuses on the multi-layer star structure and multi-layer star-tree structure, two common layout structures of subsea production control systems, and establishes the corresponding model with obstacle and seabed terrain conditions. Obtaining the lowest possible total cost was the aim of the model. A hybrid algorithm combining the adaptive mutation particle swarm algorithm and the A-star algorithm was applied to integrally optimize the subsea distribution unit and umbilical touch down point positions, the pipe connection topology and pipe routes. The practicality of this approach is demonstrated by designing a layout with one FPSO and 22 subsea control modules. The results indicate that the multi-layer star-tree layout structure has a lower total cost compared to that of the multi-layer star layout structure. In addition, the results were compared with a case that ignores the seabed terrain, indicating differences in the total construction cost. This method provides engineers with quantitative references and reliable cost estimates to make decisions regarding the layout of the subsea production control system. |
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| AbstractList | The subsea production control system, characterized by a complex and diverse structure and high cost, is one of the essential parts of a subsea production system. The rational layout of the subsea production control system is essential to reduce development costs and ensure safe production in offshore fields. Most previous studies on layout design in offshore fields have focused on the oil- and gas-gathering system. However, the layout of the subsea production control system has not thoroughly been researched to date and the seabed terrain and integral optimization have rarely been discussed. This paper focuses on the multi-layer star structure and multi-layer star-tree structure, two common layout structures of subsea production control systems, and establishes the corresponding model with obstacle and seabed terrain conditions. Obtaining the lowest possible total cost was the aim of the model. A hybrid algorithm combining the adaptive mutation particle swarm algorithm and the A-star algorithm was applied to integrally optimize the subsea distribution unit and umbilical touch down point positions, the pipe connection topology and pipe routes. The practicality of this approach is demonstrated by designing a layout with one FPSO and 22 subsea control modules. The results indicate that the multi-layer star-tree layout structure has a lower total cost compared to that of the multi-layer star layout structure. In addition, the results were compared with a case that ignores the seabed terrain, indicating differences in the total construction cost. This method provides engineers with quantitative references and reliable cost estimates to make decisions regarding the layout of the subsea production control system. |
| Author | Yue, Yuanlong Zuo, Xin Liu, Zhixiang |
| Author_xml | – sequence: 1 givenname: Yuanlong surname: Yue fullname: Yue, Yuanlong – sequence: 2 givenname: Zhixiang surname: Liu fullname: Liu, Zhixiang – sequence: 3 givenname: Xin surname: Zuo fullname: Zuo, Xin |
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| Cites_doi | 10.1016/j.oceaneng.2017.06.011 10.1016/j.oceaneng.2017.06.023 10.1016/j.oceaneng.2021.109072 10.1016/j.ijnaoe.2017.02.001 10.1016/j.ijleo.2016.06.002 10.1016/j.petrol.2017.03.016 10.1016/j.asoc.2019.105496 10.4043/18044-MS 10.1080/0952813X.2013.782348 10.1080/00207217.2019.1687759 10.1016/j.advengsoft.2014.06.003 10.1016/B978-0-12-812622-6.00028-2 10.3390/pr8020185 10.4043/28051-MS 10.1016/j.oceaneng.2018.01.099 10.1016/j.oceaneng.2019.106557 10.4018/jsir.2011010101 10.1016/j.enpol.2006.12.020 10.1016/j.petrol.2016.07.002 10.2523/102511-MS 10.1016/j.oceaneng.2014.08.017 10.4043/16574-MS 10.1016/j.cherd.2016.12.005 10.1007/s10732-020-09445-x 10.1007/s00500-015-1750-1 10.1016/j.marstruc.2021.102995 10.1016/j.petrol.2021.109273 10.4043/17054-MS 10.1016/j.oceaneng.2019.05.070 10.1109/TSSC.1968.300136 10.1115/IPC2016-64020 10.1016/j.rser.2019.05.024 10.4043/7898-MS 10.1016/j.apor.2014.02.006 10.1016/j.swevo.2020.100789 10.1016/B978-0-12-812622-6.00001-4 10.1016/j.apor.2012.02.002 10.3390/pr9081308 10.1115/OMAE2017-61483 |
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| References | Wang (ref_21) 2021; 232 Yang (ref_40) 2008; 16 Liu (ref_22) 2022; 208 Ruan (ref_28) 2014; 91 ref_35 ref_12 Tan (ref_32) 2016; 52 ref_11 Rodrigues (ref_17) 2016; 145 Zhang (ref_27) 2017; 141 Wang (ref_16) 2017; 118 Mnasri (ref_34) 2020; 26 ref_15 Hart (ref_41) 1968; 4 Zuo (ref_9) 2016; 3 Silva (ref_18) 2019; 191 Kang (ref_25) 2017; 9 Yang (ref_30) 2021; 78 Li (ref_37) 2021; 60 Nasri (ref_33) 2020; 107 Zhang (ref_13) 2017; 152 Yen (ref_36) 2011; 2 Liang (ref_39) 2016; 127 Rezaee (ref_44) 2013; 25 ref_24 Zhang (ref_14) 2017; 141 Kaiser (ref_1) 2007; 35 ref_42 Rentschler (ref_31) 2019; 111 Wang (ref_38) 2019; 81 Ammar (ref_43) 2016; 20 ref_3 ref_2 ref_29 Yasseri (ref_10) 2018; 153 Hong (ref_26) 2019; 186 Wang (ref_19) 2012; 36 ref_8 ref_5 ref_4 Wang (ref_20) 2014; 46 ref_7 ref_6 Ribeiro (ref_23) 2014; 76 |
| References_xml | – volume: 141 start-page: 25 year: 2017 ident: ref_14 article-title: An MILP method for optimal offshore oilfield gathering system publication-title: Ocean Eng. doi: 10.1016/j.oceaneng.2017.06.011 – volume: 141 start-page: 154 year: 2017 ident: ref_27 article-title: An improved PSO method for optimal design of subsea oil pipelines publication-title: Ocean Eng. doi: 10.1016/j.oceaneng.2017.06.023 – volume: 232 start-page: 109072 year: 2021 ident: ref_21 article-title: A new optimization algorithm for the layout design of a subsea production system publication-title: Ocean Eng. doi: 10.1016/j.oceaneng.2021.109072 – volume: 9 start-page: 492 year: 2017 ident: ref_25 article-title: Optimisation of pipeline route in the presence of obstacles based on a least cost path algorithm and laplacian smoothing publication-title: Int. J. Nav. Archit. Ocean Eng. doi: 10.1016/j.ijnaoe.2017.02.001 – volume: 127 start-page: 8036 year: 2016 ident: ref_39 article-title: Adaptive mutation particle swarm algorithm with dynamic nonlinear changed inertia weight publication-title: Optik doi: 10.1016/j.ijleo.2016.06.002 – volume: 152 start-page: 284 year: 2017 ident: ref_13 article-title: A unified MILP model for topological structure of production well gathering pipeline network publication-title: J. Pet. Sci. Eng. doi: 10.1016/j.petrol.2017.03.016 – volume: 81 start-page: 105496 year: 2019 ident: ref_38 article-title: Self-adaptive mutation differential evolution algorithm based on particle swarm optimization publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2019.105496 – ident: ref_3 doi: 10.4043/18044-MS – volume: 25 start-page: 527 year: 2013 ident: ref_44 article-title: Parameter selection in particle swarm optimisation: A survey publication-title: J. Exp. Theor. Artif. Intell. doi: 10.1080/0952813X.2013.782348 – volume: 107 start-page: 808 year: 2020 ident: ref_33 article-title: 3D node deployment strategies prediction in wireless sensors network publication-title: Int. J. Electron. doi: 10.1080/00207217.2019.1687759 – volume: 76 start-page: 110 year: 2014 ident: ref_23 article-title: Optimal design of submarine pipeline routes by genetic algorithm with different constraint handling techniques publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2014.06.003 – ident: ref_29 doi: 10.1016/B978-0-12-812622-6.00028-2 – ident: ref_35 – ident: ref_15 doi: 10.3390/pr8020185 – ident: ref_5 doi: 10.4043/28051-MS – volume: 153 start-page: 399 year: 2018 ident: ref_10 article-title: Availability assessment of subsea distribution systems at the architectural level publication-title: Ocean Eng. doi: 10.1016/j.oceaneng.2018.01.099 – volume: 191 start-page: 106557 year: 2019 ident: ref_18 article-title: An integrated optimization of the floating and subsea layouts publication-title: Ocean Eng. doi: 10.1016/j.oceaneng.2019.106557 – volume: 2 start-page: 1 year: 2011 ident: ref_36 article-title: A Multiobjective Particle Swarm Optimizer for Constrained Optimization publication-title: Int. J. Swarm. Intell. Res. doi: 10.4018/jsir.2011010101 – volume: 35 start-page: 3496 year: 2007 ident: ref_1 article-title: World offshore energy loss statistics publication-title: Energy Policy doi: 10.1016/j.enpol.2006.12.020 – volume: 145 start-page: 734 year: 2016 ident: ref_17 article-title: Integrated optimization model for location and sizing of offshore platforms and location of oil wells publication-title: J. Pet. Sci. Eng. doi: 10.1016/j.petrol.2016.07.002 – ident: ref_42 doi: 10.2523/102511-MS – volume: 91 start-page: 73 year: 2014 ident: ref_28 article-title: Static analysis of deepwater lazy-wave umbilical on elastic seabed publication-title: Ocean Eng. doi: 10.1016/j.oceaneng.2014.08.017 – ident: ref_4 doi: 10.4043/16574-MS – ident: ref_6 – volume: 118 start-page: 81 year: 2017 ident: ref_16 article-title: A chemical industry area-wide layout design methodology for piping implementation publication-title: Chem. Eng. Res. Des. doi: 10.1016/j.cherd.2016.12.005 – volume: 26 start-page: 663 year: 2020 ident: ref_34 article-title: IoT networks 3D deployment using hybrid many-objective optimization algorithms publication-title: J. Heuristics doi: 10.1007/s10732-020-09445-x – volume: 20 start-page: 4149 year: 2016 ident: ref_43 article-title: Relaxed Dijkstra and A* with Linear Complexity for Robot Path Planning Problems in Large-Scale Grid Environments publication-title: Soft Comput. doi: 10.1007/s00500-015-1750-1 – volume: 78 start-page: 102995 year: 2021 ident: ref_30 article-title: Integrated optimisation design of a dynamic umbilical based on an approximate model publication-title: Mar. Struct. doi: 10.1016/j.marstruc.2021.102995 – volume: 208 start-page: 109273 year: 2022 ident: ref_22 article-title: Subsea field layout optimization (part II)–the location-allocation problem of manifolds publication-title: J. Pet. Sci. Eng. doi: 10.1016/j.petrol.2021.109273 – volume: 16 start-page: 188 year: 2008 ident: ref_40 article-title: Particle Swarm Optimization Algorithm with Adaptive Mutation publication-title: Comput. Eng. – ident: ref_2 doi: 10.4043/17054-MS – volume: 186 start-page: 106088 year: 2019 ident: ref_26 article-title: A nonlinear constrained optimization model for subsea pipe route selection on an undulating seabed with multiple obstacles publication-title: Ocean Eng. doi: 10.1016/j.oceaneng.2019.05.070 – volume: 4 start-page: 100 year: 1968 ident: ref_41 article-title: A Formal Basis for the Heuristic Determination of Minimum Cost Paths publication-title: IEEE Trans. Syst. Sci. Cybern. doi: 10.1109/TSSC.1968.300136 – ident: ref_12 doi: 10.1115/IPC2016-64020 – volume: 111 start-page: 622 year: 2019 ident: ref_31 article-title: Design optimization of dynamic inter-array cable systems for floating offshore wind turbines publication-title: Renew. Sustain. Energy Rev. doi: 10.1016/j.rser.2019.05.024 – volume: 52 start-page: 13 year: 2016 ident: ref_32 article-title: Design and research on suubsea production control system configuration publication-title: Autom. Petrochem. Ind. – ident: ref_7 doi: 10.4043/7898-MS – volume: 3 start-page: 58 year: 2016 ident: ref_9 article-title: An Overview of Subsea Production Control System publication-title: Mar. Eng. Equip. Technol. – volume: 46 start-page: 94 year: 2014 ident: ref_20 article-title: Modeling for the optimization of layout scenarios of cluster manifolds with pipeline end manifolds publication-title: Appl. Ocean Res. doi: 10.1016/j.apor.2014.02.006 – volume: 60 start-page: 100789 year: 2021 ident: ref_37 article-title: An adaptive particle swarm optimizer with decoupled exploration and exploitation for large scale optimization publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2020.100789 – ident: ref_8 doi: 10.1016/B978-0-12-812622-6.00001-4 – volume: 36 start-page: 26 year: 2012 ident: ref_19 article-title: A mathematical model for subsea wells partition in the layout of cluster manifolds publication-title: Appl. Ocean Res. doi: 10.1016/j.apor.2012.02.002 – ident: ref_11 doi: 10.3390/pr9081308 – ident: ref_24 doi: 10.1115/OMAE2017-61483 |
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| SubjectTerms | Adaptive algorithms Algorithms Construction costs Control systems Cost estimates Genetic algorithms Layouts Linear programming Mathematical models Multilayers Ocean floor Offshore oil exploration & development Optimization Petroleum engineering Petroleum production Pipes Production controls Terrain Topology Underwater exploration |
| Title | Integral Layout Optimization of Subsea Production Control System Considering Three-Dimensional Space Constraint |
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