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A modified heat transfer model for predicting wellbore temperature in ultra-deep drilling with insulated drill pipe

Author

Listed:
  • Yao, Xuezhe
  • Song, Xianzhi
  • Zhou, Mengmeng
  • Xu, Zhengming
  • Duan, Shiming
  • Li, Zengjia
  • Li, Huazhou

Abstract

Deep and ultra-deep reservoirs, characterized by high temperatures and pressures, are increasingly critical for oil and gas exploration. Excessive wellbore temperature can degrade drilling fluid performance and shorten the service life of downhole tools. To mitigate these issues, effective thermal management strategies are essential. Among them, insulated drill pipe (IDP), equipped with a thermal insulation layer, offers high insulation efficiency. This study develops a transient wellbore-formation heat transfer model considering the effect of the IDP. Heat transfer control units are formulated based on energy conservation, discretized using the finite difference method, and solved with the Gauss-Seidel to determine wellbore temperature. The proposed model is validated using two real wells, achieving mean relative errors below 1 % for bottomhole and outlet temperatures. Furthermore, the insulation properties impact including thermal conductivity, thickness, length, and spraying position on wellbore temperature is systematically analyzed. Results indicate that lower thermal conductivity, increased thickness, and extended coating length effectively reduce wellbore temperature. When the entire drill pipe is coated with 2 mm, 0.02 W/(m·K) insulation, the bottomhole temperature (BHT) is reduced by 31.28 % compared with the static formation temperature (SFT). When the entire drill pipe is coated with 4 mm, 0.06 W/(m·K) insulation, the BHT is reduced by 29.12 % compared with the SFT. An optimal insulation spraying position is also identified, but IDP with different insulation properties have different optimal installation position. Finally, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) is applied to optimize IDP design parameters and the best installation position in a real-well case study.

Suggested Citation

  • Yao, Xuezhe & Song, Xianzhi & Zhou, Mengmeng & Xu, Zhengming & Duan, Shiming & Li, Zengjia & Li, Huazhou, 2025. "A modified heat transfer model for predicting wellbore temperature in ultra-deep drilling with insulated drill pipe," Energy, Elsevier, vol. 331(C).
  • Handle: RePEc:eee:energy:v:331:y:2025:i:c:s0360544225026234
    DOI: 10.1016/j.energy.2025.136981
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    References listed on IDEAS

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    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. 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).
    4. Mao, Liangjie & Wei, Changjiang & Jia, Hai & Lu, Kechong, 2023. "Prediction model of drilling wellbore temperature considering bit heat generation and variation of mud thermophysical parameters," Energy, Elsevier, vol. 284(C).
    5. 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).
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