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Establishing a practical method to accurately determine and manage wellbore thermal behavior in high-temperature drilling

Author

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  • Yang, Mou
  • Luo, Dayu
  • Chen, Yuanhang
  • Li, Gao
  • Tang, Daqian
  • Meng, Yingfeng

Abstract

As deeper reservoirs are pursued around the globe, the oil and gas industry has shown a keen interest in high-temperature operations, despite the significant drilling problems such operations pose. In order to formulate guidelines to manage wellbore temperatures accurately and maintain drilling safety, it is crucial to develop a method to quantitatively identify the effects of various parameters, both controllable and uncontrollable, on circulating fluid temperature through sound statistical methods with field validations. In this paper, the transient heat transfer mechanisms of each region of wellbore and formation were investigated. Based on the first law of thermodynamics, a set of transient heat transfer models were developed and solved using the fully implicit finite difference method. The change in the thermal behavior of the wellbore and formation was analyzed to ascertain the range of change in the sensitivity parameters. Using the Monte Carlo simulation technique, the input parameters were treated as uniform, and triangular distributions were applied to estimate the probability distribution of the bottom-hole temperature. The contributing factors of the bottom-hole temperature were ranked based on their level of influences as fluid heat capacity, formation thermal conductivity, inlet temperature, flow rate, and fluid density. The research findings from this study provides a quantitative evaluation of each parameter’s relative significance to circulating fluids temperatures during oil and gas wells or geothermal well drilling operations and therefore provides practical guidance in managing downhole temperatures by identifying the most effective and controllable operation parameters.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:238:y:2019:i:c:p:1471-1483
    DOI: 10.1016/j.apenergy.2019.01.164
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    References listed on IDEAS

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    Cited by:

    1. 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).
    2. Wang, Gaosheng & Song, Xianzhi & Shi, Yu & Yang, Ruiyue & Yulong, Feixue & Zheng, Rui & Li, Jiacheng, 2021. "Heat extraction analysis of a novel multilateral-well coaxial closed-loop geothermal system," Renewable Energy, Elsevier, vol. 163(C), pages 974-986.
    3. 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).
    4. 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).
    5. Xiao, Dong & Xiao, Hongyu & Song, Wei & Li, Gao & Zhang, Jie & Deng, Hu & Guo, Boyun & Tang, Gui & Duan, Mubai & Tang, Haijun, 2024. "Utilization method of low-grade thermal energy during drilling based on insulated Drill pipe," Renewable Energy, Elsevier, vol. 225(C).
    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. 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).

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