Improved axial dynamic analysis of risers based on finite element method and data-driven models

OCEAN ENGINEERING

卷:214

Article

Liu, Xiuquan^1,2  Li, Yanwei²  Zhang, Nan²  Sun, Hexiang²  Chang, Yuanjiang²  Chen, Guoming²  Xu, Liangbin³  Sheng, Leixiang³ 

[1] China Univ Petr, Natl Engn Lab Offshore Geophys & Explorat Equipme, Qingdao 266580, Peoples R China

[2] China Univ Petr, Ctr Offshore Engn & Safety Technol, Qingdao 266580, Peoples R China

[3] China CNOOC Res Inst Co Ltd, Beijing 100028, Peoples R China

关键词: Risers;    Dynamic analysis;    Computational fluid dynamics;    BP neural network;    Finite element method;   

DOI  :  10.1016/j.oceaneng.2020.107782

来源: Elsevier

【 摘 要 】

Axial dynamics of risers is one of challenges in offshore oil and gas engineering. Axial hydrodynamic loads on a riser system are often ignored in traditional analysis methods. To accurately analyze the axial dynamic response of risers, an improved axial dynamic analysis method of risers is proposed based on finite element method and data-driven models. Finite element method is introduced to analyze the structural response of risers while data-driven models are trained for the calculation of hydrodynamic loads through BP neural network. Finally, a comprehensive analysis algorithm is proposed for the axial dynamic analysis of risers by combining finite element method and data-driven models. The proposed method is demonstrated by its application to a case. It turns out that the hydrodynamic loads on key components have an obvious influence on axial dynamics of risers, especially the lower marine riser package (LMRP). The vibration amplitude of risers increases obviously and the vibration phase of risers presents a little lag with consideration of hydrodynamic loads. The detailed influence of hydrodynamic loads on axial dynamics of risers under different amplitudes and periods of platform motion and riser configurations is also studied based on the proposed method.

【 授权许可】

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