• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2019, Vol. 55 ›› Issue (4): 164-171.doi: 10.3901/JME.2019.04.164

• 可再生能源与工程热物理 • 上一篇    下一篇

基于涡激抑制的深水钻井隔水管系统浮力块配置智能优化

刘秀全1, 姬景奇1, 郑健1, 王向磊1, 陈国明1, 张浩2   

  1. 1. 中国石油大学海洋油气装备与安全技术研究中心 青岛 266580;
    2. 中国船舶科学研究中心 无锡 214082
  • 收稿日期:2017-08-12 修回日期:2018-01-06 出版日期:2019-02-20 发布日期:2019-02-20
  • 通讯作者: 刘秀全(通信作者),男,1987年出生,博士,副教授。主要研究方向为深水钻井隔水管完整性技术。E-mail:lxqmcae@163.com
  • 作者简介:陈国明,男,1962年出生,博士,教授,博士研究生导师。主要研究方向为海洋油气工程及装备、油气安全工程等。E-mail:offshore@126.com
  • 基金资助:
    国家自然科学基金(51809279)、国家重点基础研究发展计划(973计划,2015CB251203)、教育部长江学者和创新团队发展计划(IRT14R58)、国家自然科学基金(51239008)、山东省自然科学基金联合专项(ZR2014EL018)和中央高校基本科研业务费专项资金(17CX02025A)资助项目

Intelligent Optimization of Buoyancy Configuration for Deepwater Drilling Riser System Based on Vortex-induced Vibration Suppression

LIU Xiuquan1, JI Jingqi1, ZHENG Jian1, WANG Xianglei1, CHEN Guoming1, ZHANG Hao2   

  1. 1. Centre for Offshore Engineering and Safety Technology, China University of Petroleum, Qingdao 266580;
    2. China Ship Scientific Research Center, Wuxi 214082
  • Received:2017-08-12 Revised:2018-01-06 Online:2019-02-20 Published:2019-02-20

摘要: 涡激疲劳是深水钻井隔水管系统的主要失效模式之一,如何通过隔水管系统浮力块配置减小隔水管系统涡激疲劳损伤是要解决的关键问题,采用基因编码方式表征隔水管系统浮力块配置,融合遗传算法和隔水管系统涡激疲劳分析模型提出深水钻井隔水管系统浮力块配置智能优化方法,开发深水钻井隔水管系统浮力块配置智能优化系统,开展不同水深下的深水钻井隔水管系统浮力块配置优化设计,并采用枚举法对隔水管系统浮力块配置智能优化方法进行验证分析。结果表明,提出的隔水管系统浮力块配置智能优化方法可以精确高效地开展隔水管系统浮力块配置优化设计,与传统的隔水管系统配置经验设计相比,提出的隔水管系统浮力块配置优化方法可以大大改善隔水管系统涡激疲劳性能。

关键词: 深水, 涡激疲劳, 遗传算法, 智能优化, 钻井隔水管

Abstract: Vortex-induced fatigue is one of the main failure modes of the deepwater drilling riser system, and how to reduce the vortex-induced fatigue damage of the riser system through the buoyancy configuration design is the key problem to be solved. An intelligent optimization method of buoyancy configuration for deepwater drilling riser system is proposed based on genetic algorithm and VIV analysis model of riser system with buoyancy configuration characterized by the gene coding method. The intelligent optimization system of buoyancy configuration for deepwater drilling riser system is developed and enumeration method is applied for verification. At last, buoyancy configuration optimization design for different water depth is carried out. The results show that the proposed method can optimize the vortex-induced fatigue design of the riser system accurately and efficiently. Compared with the traditional experience design of the riser system, the proposed optimization method of buoyancy configuration can greatly improve the vortex-induced fatigue performance of the riser system.

Key words: deepwater, drilling riser, genetic algorithm, intelligent optimization, vortex-induced fatigue

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