Static Optimization of a Compliant Vertical Access Riser

论文摘要

The compliant vertical access riser（CVAR） is a new riser concept with good compliance; it can significantly reduce operating costs by eliminating the need for additional machines to operate wells directly on the platform. In this study, we determined the optimal riser parameters in terms of the stress and riser weight by optimizing the CVAR, and we compared the optimization results. A two-dimensional nonlinear static CVAR model was deduced according to the principles of virtual work and variation, and the model was verified using MATLAB. Design of experiments and Kriging method were used to reduce the number of sample calculations and improve the modeling accuracy. An appropriate selection of the multi-objective optimization problem（MOP） and the non-dominated sorting genetic algorithm helped to optimize the CVAR design. The non-dominated sorting genetic algorithm II was used to solve the Pareto frontier of the optimization model in order to provide decision makers with more choices for the optimization results. After optimizing the riser parameters, the geometry of the riser was smoother, and the stress and stress differences were greatly reduced; the maximum equivalent stresses at the top and bottom were reduced by 36.6% and 44%, respectively. In addition, the stress difference in the buoyancy block area was reduced by 20.9%, and the weight of the riser was increased significantly by 28.1%.

论文目录

• 1 Introduction
• 2 Theoretical Basis
•   2.1 Two-Dimensional（2D）Nonlinear Static CVAR Model
•   2.2 Comparative Results
•   2.2 Optimization Design Progress
• 3 Optimization Design of the Riser Parameters
•   3.1 Model Parameters and Mathematical Optimization Model
•     3.1.1 Model parameters
•     3.1.2 Mathematical optimization model
•   3.2 Calculation of the Optimization Results
•     3.2.1 Kriging agent model formulation
•     3.2.2 Calculation results
• 5 Conclusions

文章来源

类型: 期刊论文

作者: LOU Min,ZHANG Yuansheng,WU Wugang

来源: Journal of Ocean University of China 2019年05期

年度: 2019

分类: 基础科学,工程科技Ⅰ辑

专业: 石油天然气工业

单位: College of Petroleum Engineering, China University of Petroleum(East China),Kunming Shipborne Equipment Research and Test Center, China Shipbuilding Industry Corporation

基金: funded by the National Natural Science Foundation of China (No. 51579245),the National Key R&D Program of China (No. 2016YFC0303 800)

分类号: TE95

页码: 1070-1078

总页数: 9

文件大小: 1317K

下载量: 13