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Numerical analysis of transient wellbore thermal behavior in dynamic deepwater multi-gradient drilling

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  • Yang, Hongwei
  • Li, Jun
  • Liu, Gonghui
  • Wang, Chao
  • Li, Mengbo
  • Jiang, Hailong

Abstract

This paper aims to investigate the wellbore thermal behavior in multi-gradient drilling (MGD). Based on the principle of energy conservation, a synthetic transient heat transfer model was established, in which the mass and heat transfer of lightweight glass microspheres (GMSs) were considered for the wellbore fluid region, and the dynamic variation in the moving boundary was considered for the drill bit and separator region. The synthetic model was solved using the combination of finite volume method and dynamic laying method. The accuracy and capability of the model were verified using field measurement data and previous typical models. The calculation results suggested that the annular temperature near the separator dropped suddenly due to the mass and heat transfer of GMSs. Additionally, the dynamic drilling of the drill bit would increase the bottomhole temperature continuously. Furthermore, a sensitivity analysis indicated that when the GMS concentration increased from 5% to 45%, the annulus temperature at the separator reduced by 9.15%; when the distance between the drill bit and separator increased from 1100 m to 3000 m, the bottomhole temperature increases by 3.99%; and the effect of the separator number on annulus temperature combined the dual role of separator position and GMS concentration.

Suggested Citation

  • Yang, Hongwei & Li, Jun & Liu, Gonghui & Wang, Chao & Li, Mengbo & Jiang, Hailong, 2019. "Numerical analysis of transient wellbore thermal behavior in dynamic deepwater multi-gradient drilling," Energy, Elsevier, vol. 179(C), pages 138-153.
  • Handle: RePEc:eee:energy:v:179:y:2019:i:c:p:138-153
    DOI: 10.1016/j.energy.2019.04.214
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    References listed on IDEAS

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    1. Yang, Mou & Li, Xiaoxiao & Deng, Jianmin & Meng, Yingfeng & Li, Gao, 2015. "Prediction of wellbore and formation temperatures during circulation and shut-in stages under kick conditions," Energy, Elsevier, vol. 91(C), pages 1018-1029.
    2. Zhang, Zheng & Xiong, Youming & Gao, Yun & Liu, Liming & Wang, Menghao & Peng, Geng, 2018. "Wellbore temperature distribution during circulation stage when well-kick occurs in a continuous formation from the bottom-hole," Energy, Elsevier, vol. 164(C), pages 964-977.
    3. Cheng, Wen-Long & Huang, Yong-Hua & Lu, De-Tang & Yin, Hong-Ru, 2011. "A novel analytical transient heat-conduction time function for heat transfer in steam injection wells considering the wellbore heat capacity," Energy, Elsevier, vol. 36(7), pages 4080-4088.
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    Citations

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    Cited by:

    1. Ruiyao Zhang & Jun Li & Gonghui Liu & Hongwei Yang & Hailong Jiang, 2019. "Analysis of Coupled Wellbore Temperature and Pressure Calculation Model and Influence Factors under Multi-Pressure System in Deep-Water Drilling," Energies, MDPI, vol. 12(18), pages 1-27, September.
    2. Yang, Hongwei & Li, Jun & Zhang, Hui & Jiang, Jiwei & Guo, Boyun & Gao, Reyu & Zhang, Geng, 2022. "Thermal behavior prediction and adaptation analysis of a reelwell drilling method for closed-loop geothermal system," Applied Energy, Elsevier, vol. 320(C).
    3. Zhang, Xishun & Shi, Junfeng & Zhao, Ruidong & Ma, Gaoqiang & Li, Zhongyang & Wang, Xiaofei & Zhang, Jinke, 2024. "Simulation of wellbore pipe flow in oil production engineering: Offshore concentric double-tube CO2-assisted superheated steam wellbore during SAGD process of heavy oil reservoirs," Energy, Elsevier, vol. 294(C).
    4. Zhang, Zheng & Xiong, Youming & Pu, Hui & Sun, Zheng, 2021. "Effect of the variations of thermophysical properties of drilling fluids with temperature on wellbore temperature calculation during drilling," Energy, Elsevier, vol. 214(C).
    5. Yang, Hongwei & Li, Jun & Zhang, Hui & Jiang, Jiwei & Guo, Boyun & Zhang, Geng, 2022. "Numerical analysis of heat transfer rate and wellbore temperature distribution under different circulating modes of Reel-well drilling," Energy, Elsevier, vol. 254(PB).
    6. Pei, Yingju & Liu, Qingyou & Wang, Chuan & Wang, Guorong, 2021. "Energy efficiency prediction model and energy characteristics of subsea disc pump based on velocity slip and similarity theory," Energy, Elsevier, vol. 229(C).
    7. Yang, Xianyu & Cai, Jihua & Jiang, Guosheng & Zhang, Yungen & Shi, Yanping & Chen, Shuya & Yue, Ye & Wei, Zhaohui & Yin, Dezhan & Li, Hua, 2022. "Modeling of nanoparticle fluid microscopic plugging effect on horizontal and vertical wellbore of shale gas," Energy, Elsevier, vol. 239(PB).
    8. Mao, Liangjie & Wei, Changjiang & Zeng, Song & Cai, Mingjie, 2023. "Heat transfer mechanism of cold-water pipe in ocean thermal energy conversion system," Energy, Elsevier, vol. 269(C).
    9. Yang, Xianyu & Cai, Jihua & Jiang, Guosheng & Xie, Jingyu & Shi, Yanping & Chen, Shuya & Yue, Ye & Yu, Lang & He, Yichao & Xie, Kunzhi, 2020. "Nanoparticle plugging prediction of shale pores: A numerical and experimental study," Energy, Elsevier, vol. 208(C).

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