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Influence of the location of drilling fluid loss on wellbore temperature distribution during drilling

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Listed:
  • Zhang, Zheng
  • Wei, Yongqi
  • Xiong, Youming
  • Peng, Geng
  • Wang, Guorong
  • Lu, Jingsheng
  • Zhong, Lin
  • Wang, Jingpeng

Abstract

Circulation loss can occur at different positions during drilling, which has different effects on the wellbore temperature distribution. To ensure the safety and effectiveness of the drilling process, it is necessary to study the influence of circulation loss at different positions on the wellbore temperature distribution. In this study, we established mathematical models of wellbore temperature distribution corresponding to different situations in which circulation loss occurred and obtained the wellbore temperature distribution for each situation. When circulation loss occurred in the one-dimensional region, the annulus drilling fluid temperature at the circulation loss position changed suddenly; when it occurred in the two-dimensional region, the wellbore temperature at the circulation loss position was significantly disturbed. Under other conditions unchanged, as the circulation loss occurred closer to the bottom hole, the lower the wellbore temperature became at the same well depth. After circulation loss occurred, the formation temperature in the circulation loss area decreased significantly. The difference between the wellbore temperature distribution curve after circulation loss occurs and the wellbore temperature distribution curve when no circulation loss occurred can be used to monitor the location of the circulation loss in real time.

Suggested Citation

  • Zhang, Zheng & Wei, Yongqi & Xiong, Youming & Peng, Geng & Wang, Guorong & Lu, Jingsheng & Zhong, Lin & Wang, Jingpeng, 2022. "Influence of the location of drilling fluid loss on wellbore temperature distribution during drilling," Energy, Elsevier, vol. 244(PB).
  • Handle: RePEc:eee:energy:v:244:y:2022:i:pb:s0360544221032801
    DOI: 10.1016/j.energy.2021.123031
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    References listed on IDEAS

    as
    1. 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.
    2. 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).
    3. Mou Yang & Yingfeng Meng & Gao Li & Yongjie Li & Ying Chen & Xiangyang Zhao & Hongtao Li, 2013. "Estimation of Wellbore and Formation Temperatures during the Drilling Process under Lost Circulation Conditions," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-11, July.
    4. Abbas, Ahmed K. & Bashikh, Ali A. & Abbas, Hayder & Mohammed, Haider Q., 2019. "Intelligent decisions to stop or mitigate lost circulation based on machine learning," Energy, Elsevier, vol. 183(C), pages 1104-1113.
    5. Marshall L. Fisher, 2004. "The Lagrangian Relaxation Method for Solving Integer Programming Problems," Management Science, INFORMS, vol. 50(12_supple), pages 1861-1871, December.
    6. Cheng, Wen-Long & Nian, Yong-Le & Li, Tong-Tong & Wang, Chang-Long, 2014. "A novel method for predicting spatial distribution of thermal properties and oil saturation of steam injection well from temperature logs," Energy, Elsevier, vol. 66(C), pages 898-906.
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    Cited by:

    1. Guo, Junyu & Wan, Jia-Lun & Yang, Yan & Dai, Le & Tang, Aimin & Huang, Bangkui & Zhang, Fangfang & Li, He, 2023. "A deep feature learning method for remaining useful life prediction of drilling pumps," Energy, Elsevier, vol. 282(C).
    2. Pang, Boxue & Ren, Xianghui & Liu, Zaobao & Wang, Xin & Liu, Xu, 2023. "Investigation on multiphase flow of multi-size cuttings particles and non-Newtonian drilling fluids in oil and gas horizontal well drilling using kinetic theory of granular flow," Energy, Elsevier, vol. 282(C).

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