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Prediction of wellbore and formation temperatures during circulation and shut-in stages under kick conditions

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  • Yang, Mou
  • Li, Xiaoxiao
  • Deng, Jianmin
  • Meng, Yingfeng
  • Li, Gao

Abstract

As the kick occurred during the drilling process is a key factor for effecting the temperature distributions of wellbore and formation, the transient heat exchange mechanisms for the radical and axial directions of wellbore and formation under kick conditions were investigated. Two operation stages, namely circulation and shut-in, were taken into consideration. Based on the first law of thermodynamics, a set of transient heat transfer models were developed to accurately predict temperature profiles of wellbore and formation. The models were solved using the fully implicit finite difference method, coupled with clustering method. The results indicated that the depth of kick and casing program could alter the heat exchange efficiency of wellbore and formation, and therefore affect the temperature distribution of wellbore and formation. Additionally, circulation and shut-in stages as well as the initial and boundary conditions for each region of wellbore and formation could also affect the heat transfer mechanism, leading to the variation of distribution distance of the initial formation temperature in the surrounding wellbore. More importantly, this model fitted actual field data better than other heat transfer models. These findings could provide theoretical insights into the temperature distribution of wellbore-formation system in drilling under kick conditions.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:91:y:2015:i:c:p:1018-1029
    DOI: 10.1016/j.energy.2015.09.001
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    References listed on IDEAS

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    8. 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.
    9. Bu, Xianbiao & Ran, Yunmin & Zhang, Dongdong, 2019. "Experimental and simulation studies of geothermal single well for building heating," Renewable Energy, Elsevier, vol. 143(C), pages 1902-1909.
    10. Song, Xianzhi & Wang, Gaosheng & Shi, Yu & Li, Ruixia & Xu, Zhengming & Zheng, Rui & Wang, Yu & Li, Jiacheng, 2018. "Numerical analysis of heat extraction performance of a deep coaxial borehole heat exchanger geothermal system," Energy, Elsevier, vol. 164(C), pages 1298-1310.
    11. Xin Chang & Jun Zhou & Yintong Guo & Shiming He & Lei Wang & Yulin Chen & Ming Tang & Rui Jian, 2018. "Heat Transfer Behaviors in Horizontal Wells Considering the Effects of Drill Pipe Rotation, and Hydraulic and Mechanical Frictions during Drilling Procedures," Energies, MDPI, vol. 11(9), pages 1-28, September.
    12. 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.
    13. Kang, Yili & Ma, Chenglin & Xu, Chengyuan & You, Lijun & You, Zhenjiang, 2023. "Prediction of drilling fluid lost-circulation zone based on deep learning," Energy, Elsevier, vol. 276(C).
    14. Yang, Hongwei & Li, Jun & Liu, Gonghui & Wang, Chao & Li, Mengbo & Jiang, Hailong, 2019. "Numerical analysis of transient wellbore thermal behavior in dynamic deepwater multi-gradient drilling," Energy, Elsevier, vol. 179(C), pages 138-153.

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