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

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中文题名一种用于预测采用隔热钻杆超深钻井中井筒温度的改良热传递模型
作者Xuezhe Yao1;Xianzhi Song1,2CA1;Mengmeng Zhou2;Zhengming Xu3;Shiming Duan1;Zengjia Li1;Huazhou Li4CA2
作者单位1College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing, China;2College of Carbon Neutral Energy, China University of Petroleum (Beijing), Beijing, China;3School of Energy Resources, China University of Geosciences (Beijing), Beijing, China;4Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, Canada
刊名Energy
2025
331
No.0
摘要
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.

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