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Dynamic catastrophe analysis of deepwater mooring platform/riser/wellhead coupled system under ISW

Author

Listed:
  • Qiu, Na
  • Liu, Xiuquan
  • Li, Yanwei
  • Hu, Pengji
  • Chang, Yuanjiang
  • Chen, Guoming
  • Meng, Huixing

Abstract

Mooring platform/riser/wellhead coupled system, as an important and large complex system during offshore drilling operations, is easily affected by internal solitary waves (ISW). The impact load of ISW may lead to failure cascade process and even serious accident consequences to the coupled system. This paper is aimed at proposing a dynamic catastrophic analysis model that combines mechanical quantitative analysis with process safety of mooring platform/riser/wellhead system under ISW. The proposed dynamic catastrophic model can consider limit state of each system used as the failure criterion, including the dragging/fracture of mooring system and the fracture failure of riser/wellhead/conductor system. A dynamic catastrophic analysis method was proposed and a simulation program was also developed based on MATLAB. A case study was presented to reveal the dynamic catastrophic evolution process and the susceptibility of coupled system to ISW. Results indicated that the coupled system would experience wellhead fracture, mooring line dragging or fracture, riser fracture, and flex joint failure under different ISW velocities. Through the quantitative analysis with different ISW strength, two catastrophic scenarios, namely, wellhead fracture-mooring line dragging and mooring line dragging-wellhead fracture-mooring line dragging, occurred.

Suggested Citation

  • Qiu, Na & Liu, Xiuquan & Li, Yanwei & Hu, Pengji & Chang, Yuanjiang & Chen, Guoming & Meng, Huixing, 2024. "Dynamic catastrophe analysis of deepwater mooring platform/riser/wellhead coupled system under ISW," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
  • Handle: RePEc:eee:reensy:v:246:y:2024:i:c:s0951832024001583
    DOI: 10.1016/j.ress.2024.110084
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    References listed on IDEAS

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    1. Rezende, Filipe A. & Videiro, Paulo M. & Sagrilo, Luis V.S. & Oliveira, Mauro C., 2024. "Reliability-based fatigue inspection planning for mooring chains of floating systems," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    2. Wu, Jingyi & Yu, Yang & Cheng, Siyuan & Li, Zhenmian & Yu, Jianxing, 2022. "Probabilistic multilevel robustness assessment framework for a TLP under mooring failure considering uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    3. Wang, Chenyushu & Cai, Baoping & Shao, Xiaoyan & Zhao, Liqian & Sui, Zhongfei & Liu, Keyang & Khan, Javed Akbar & Gao, Lei, 2023. "Dynamic risk assessment methodology of operation process for deepwater oil and gas equipment," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    4. An, Xu & Yin, Zhiming & Tong, Qi & Fang, Yiping & Yang, Ming & Yang, Qiaoqiao & Meng, Huixing, 2023. "An integrated resilience assessment methodology for emergency response systems based on multi-stage STAMP and dynamic Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 238(C).
    5. Meng, Xiangkun & Li, Xinhong & Wang, Weigang & Song, Guozheng & Chen, Guoming & Zhu, Jingyu, 2021. "A novel methodology to analyze accident path in deepwater drilling operation considering uncertain information," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    6. Song, Guozheng & Khan, Faisal & Wang, Hangzhou & Leighton, Shelly & Yuan, Zhi & Liu, Hanwen, 2016. "Dynamic occupational risk model for offshore operations in harsh environments," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 58-64.
    7. Wu, Jingyi & Yu, Yang & Yu, Jianxing & Chang, Xueying & Xu, Lixin & Zhang, Wenhao, 2023. "A Markov resilience assessment framework for tension leg platform under mooring failure," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    8. Chang, Yuanjiang & Wu, Xiangfei & Zhang, Changshuai & Chen, Guoming & Liu, Xiuquan & Li, Jiayi & Cai, Baoping & Xu, Liangbin, 2019. "Dynamic Bayesian networks based approach for risk analysis of subsea wellhead fatigue failure during service life," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 454-462.
    9. Sun, Yu & Li, He & Sun, Liping & Guedes Soares, C., 2023. "Failure Analysis of Floating Offshore Wind Turbines with Correlated Failures," Reliability Engineering and System Safety, Elsevier, vol. 238(C).
    10. Wu, Shengnan & Zhang, Qiao & Li, Bin & Zhang, Laibin & Zheng, Wenpei & Li, Zhong & Li, Zhandong & Liu, Yiliu, 2023. "Reliability analysis of subsea wellhead system subject to fatigue and degradation during service life," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    11. Liu, Zengkai & Ma, Qiang & Cai, Baoping & Shi, Xuewei & Zheng, Chao & Liu, Yonghong, 2022. "Risk coupling analysis of subsea blowout accidents based on dynamic Bayesian network and NK model," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
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