IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v246y2024ics0951832024001583.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832024001583
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2024.110084?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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).
    2. 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.
    3. 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).
    4. 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).
    5. 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).
    6. 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).
    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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Ruixing & An, Liqiang & He, Lun & Yang, Xinmeng & Huang, Zenghao, 2024. "Reliability analysis and inverse optimization method for floating wind turbines driven by dual meta-models combining transient-steady responses," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    2. Wu, Jingyi & Yu, Yang & Jin, Zihang & Zhang, Wenhao, 2024. "Multi-dimensional resilience assessment framework of offshore structure under mooring failure," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    3. Sun, Hao & Yang, Ming & Zio, Enrico & Li, Xinhong & Lin, Xiaofei & Huang, Xinjie & Wu, Qun, 2024. "A simulation-based approach for resilience assessment of process system: A case of LNG terminal system," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    4. He, Rui & Zhu, Jingyu & Chen, Guoming & Tian, Zhigang, 2022. "A real-time probabilistic risk assessment method for the petrochemical industry based on data monitoring," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    5. Guo, Yunlong & Jin, Yongxing & Hu, Shenping & Yang, Zaili & Xi, Yongtao & Han, Bing, 2023. "Risk evolution analysis of ship pilotage operation by an integrated model of FRAM and DBN," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    6. Alsulieman, Abdullah & Ge, Xihe & Zeng, Zhiguo & Butenko, Sergiy & Khan, Faisal & El-Halwagi, Mahmoud, 2024. "Dynamic risk analysis of evolving scenarios in oil and gas separator," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    7. Liu, Xuan & Meng, Huixing & An, Xu & Xing, Jinduo, 2024. "Integration of functional resonance analysis method and reinforcement learning for updating and optimizing emergency procedures in variable environments," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    8. Bhardwaj, U. & Teixeira, A.P. & Guedes Soares, C., 2022. "Casualty analysis methodology and taxonomy for FPSO accident analysis," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    9. Leimeister, Mareike & Kolios, Athanasios, 2018. "A review of reliability-based methods for risk analysis and their application in the offshore wind industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1065-1076.
    10. Tao, Haohan & Jia, Peng & Wang, Xiangyu & Wang, Liquan, 2024. "Reliability analysis of subsea control module based on dynamic Bayesian network and digital twin," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    11. Dongshi Sun & Di Guo & Danlan Xie, 2023. "Using Multicriteria Decision Making to Evaluate the Risk of Hydrogen Energy Storage and Transportation in Cities," Sustainability, MDPI, vol. 15(2), pages 1-27, January.
    12. Cao, Bohan & Yin, Qishuai & Guo, Yingying & Yang, Jin & Zhang, Laibin & Wang, Zhenquan & Tyagi, Mayank & Sun, Ting & Zhou, Xu, 2023. "Field data analysis and risk assessment of shallow gas hazards based on neural networks during industrial deep-water drilling," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    13. Yu, Yaocheng & Shuai, Bin & Huang, Wencheng, 2024. "Resilience evaluation of train control on-board system considering common cause failure: Based on a beta-factor and continuous-time bayesian network model," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
    14. Fam, Mei Ling & He, Xuhong & Konovessis, Dimitrios & Ong, Lin Seng, 2020. "Using Dynamic Bayesian Belief Network for analysing well decommissioning failures and long-term monitoring of decommissioned wells," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    15. Adnan Sarwar & Faisal Khan & Majeed Abimbola & Lesley James, 2018. "Resilience Analysis of a Remote Offshore Oil and Gas Facility for a Potential Hydrocarbon Release," Risk Analysis, John Wiley & Sons, vol. 38(8), pages 1601-1617, August.
    16. Caetano, Henrique O. & N., Luiz Desuó & Fogliatto, Matheus S.S. & Maciel, Carlos D., 2024. "Resilience assessment of critical infrastructures using dynamic Bayesian networks and evidence propagation," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    17. 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).
    18. 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).
    19. Papazoglou, I.A. & Aneziris, O.N. & Bellamy, L.J. & Ale, B.J.M. & Oh, J., 2017. "Quantitative occupational risk model: Single hazard," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 162-173.
    20. Chen, Jiayu. & Yao, Boqing & Lu, Qinhua & Wang, Xuhang & Yu, Pingchao & Ge, Hongjuan, 2024. "A safety dynamic evaluation method for missile mission based on multi-layered safety control structure model," Reliability Engineering and System Safety, Elsevier, vol. 241(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:246:y:2024:i:c:s0951832024001583. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.