基于多学科设计优化方法的新一代水下生产系统一体化设计

An Integrated Design on Next Generation Subsea Production System Based on Multidisciplinary Design Optimization Method

新一代水下生产系统是一种新型超深海石油开发装备,主要由人工海床、刚性立管、柔性跨接管和系泊缆组成。为进一步提高新一代水下生产系统的总体性能和设计效率,本文基于多学科设计优化方法开展新一代水下生产系统的一体化设计方法研究。通过结合多学科可行法和粒子群优化算法建立设计框架,在框架内定义水动力分析和整体性能分析两个子学科,并给出各子学科的分析方法。在此基础上,基于拉丁超立方抽样法和反向传播神经网络建立水动力分析和整体性能分析的代理模型。将代理模型与设计框架结合,对3000 m水深的新一代水下生产系统进行一体化设计。结果表明,新一代水下生产系统的总体性能和设计效率均有所提高。

The Next Generation Subsea Production System(NextGen SPS)is an innovative concept for petroleum development in ultra-deep water areas,mainly consisting of artificial seabed(AS),rigid ris-ers,flexible jumpers and mooring lines.To improve the overall performance and design efficiency of NextGen SPS,an integrated design approach for the NextGen SPS based on multidisciplinary design optimization(MDO)method was investigated in this paper by combing the multidisciplinary feasible(MDF)architecture and particle swarm optimization(PSO)algorithm to establish the design frame-work.Two sub-disciplines of hydrodynamic analysis and global performance analysis were defined,and analysis method in each sub-discipline was introduced.Surrogate models of hydrodynamic analy-sis and global performance analysis were developed by using Latin hypercube sampling method and back propagation neural network(BPNN).Surrogate models were incorporated into the design frame-work,through which an integrated design for NextGen SPS at a depth of 3000 m was implemented.It is concluded that both the overall performance and the design efficiency of NextGen SPS are improved.