Research on Subsea Cluster Layout Optimization Method Considering Three-Dimensional Terrain Constraints

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מידע ביבליוגרפי
הוצא לאור ב:Journal of Marine Science and Engineering vol. 13, no. 12 (2025), p. 2385-2409
מחבר ראשי: An Weizheng
מחברים אחרים: Liu Wenze, Song, Xiaohui, Wang, Yingying, Ma, Qiang, Lin Yangqing, Xue Yiyang
יצא לאור:
MDPI AG
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022 |a 2077-1312 
024 7 |a 10.3390/jmse13122385  |2 doi 
035 |a 3286312005 
045 2 |b d20250101  |b d20251231 
084 |a 231479  |2 nlm 
100 1 |a An Weizheng  |u CNOOC Research Institute Co., Ltd., Beijing 100028, China 
245 1 |a Research on Subsea Cluster Layout Optimization Method Considering Three-Dimensional Terrain Constraints 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Seabed topography is a key factor affecting the layout of underwater production systems. Developing a more scientific, intelligent, and integrated layout optimization method is the key to optimizing the layout of underwater production systems. To address the challenge of acquiring a more scientific, intelligent, and integrated optimization method, this paper proposes a multi-level integrated optimization model that incorporates three-dimensional seabed topography, obstacle areas, target locations, pipeline paths, and manifold connection relationships, with the primary objective of minimizing total investment cost. A hybrid algorithm combining H-MOPSO (Hierarchical Multi-Objective Particle Swarm Optimization) with K-means-ILP clustering, dynamic programming, and TEWA* pathfinding is raised to collaboratively solve for the global optimal layout, achieving a coupled “target grouping-manifold connection-path optimization” design. Based on the actual oilfield seabed topography and target data, this paper carries out case analysis and algorithm comparison experiments. The results show that the optimization method in this paper can significantly improve the layout economy and cost accuracy under the premise of meeting the engineering constraints. Among them, the PLEM parallel connection method reduces the pipeline laying cost by 25.72% and the overall layout investment cost by 5.39% compared with the traditional manifold series scheme. 
651 4 |a China 
653 |a Oil fields 
653 |a Particle swarm optimization 
653 |a Hydrocarbons 
653 |a Mathematical models 
653 |a Algorithms 
653 |a Manifolds 
653 |a Ocean bottom 
653 |a Layouts 
653 |a Oil and gas fields 
653 |a Multiple objective analysis 
653 |a Topography 
653 |a Optimization models 
653 |a Ocean floor 
653 |a Mathematical programming 
653 |a Dynamic programming 
653 |a Costs 
653 |a Clustering 
653 |a Pipelining (computers) 
653 |a Genetic algorithms 
653 |a Integrated approach 
653 |a Linear programming 
653 |a Engineering 
653 |a Design optimization 
653 |a Constraints 
653 |a Optimization algorithms 
653 |a Underwater 
653 |a Economic 
700 1 |a Liu Wenze  |u Hainan Institute, China University of Petroleum (Beijing), Sanya 572000, China 
700 1 |a Song, Xiaohui  |u CNOOC Research Institute Co., Ltd., Beijing 100028, China 
700 1 |a Wang, Yingying  |u Hainan Institute, China University of Petroleum (Beijing), Sanya 572000, China 
700 1 |a Ma, Qiang  |u CNOOC Research Institute Co., Ltd., Beijing 100028, China 
700 1 |a Lin Yangqing  |u Hainan Institute, China University of Petroleum (Beijing), Sanya 572000, China 
700 1 |a Xue Yiyang  |u Hainan Institute, China University of Petroleum (Beijing), Sanya 572000, China 
773 0 |t Journal of Marine Science and Engineering  |g vol. 13, no. 12 (2025), p. 2385-2409 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3286312005/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3286312005/fulltextwithgraphics/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3286312005/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch