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Prediction model of drilling wellbore temperature considering bit heat generation and variation of mud thermophysical parameters

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  • Mao, Liangjie
  • Wei, Changjiang
  • Jia, Hai
  • Lu, Kechong

Abstract

Downhole tools are at risk of high-temperature failure during drilling operations in deep and ultra-deep wells. To solve this problem, researchers have developed temperature models for various drilling conditions to determine the wellbore temperature distribution. Unfortunately, few researchers have studied downhole tool temperatures compared to wellbore fluid temperatures. To the best of our knowledge, very few models have taken into account both the bit heat generated and the axial heat conductivity in the drill pipe to accurately predict downhole operating tool temperatures. In this study, a transient temperature model coupled with mud-drillpipe-casing-cement-formation is developed. Polycrystalline diamond compact (PDC) bit frictional heat generation equations and fitted curves of drilling fluid thermophysical parameters with temperature and density are considered in the model. Then, the effects of mud systems, density, flow rate, inlet temperature, rotary speed, and weight on bit (WOB) on the wellbore temperature and downhole tool temperature are discussed, based on the example of a well in Sichuan, China. The results of this study are an important guide for downhole tool selection and drilling parameter design. The model developed in this study has been used to guide the field operation of several oil wells in Sichuan and Qinghai.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223027354
    DOI: 10.1016/j.energy.2023.129341
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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. Nie, Bin & Sun, Sijia, 2023. "Thermal recovery of coalbed methane: Modeling of heat and mass transfer in wellbores," Energy, Elsevier, vol. 263(PD).
    3. 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).
    4. Al Saedi, A.Q. & Sharma, P. & Kabir, C.S., 2021. "A novel cyclical wellbore-fluid circulation strategy for extracting geothermal energy," Energy, Elsevier, vol. 235(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. Wei, Changjiang & Mao, Liangjie & Yao, Changshun & Yu, Guijian, 2022. "Heat transfer investigation between wellbore and formation in U-shaped geothermal wells with long horizontal section," Renewable Energy, Elsevier, vol. 195(C), pages 972-989.
    7. Yang, Mou & Luo, Dayu & Chen, Yuanhang & Li, Gao & Tang, Daqian & Meng, Yingfeng, 2019. "Establishing a practical method to accurately determine and manage wellbore thermal behavior in high-temperature drilling," Applied Energy, Elsevier, vol. 238(C), pages 1471-1483.
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