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Estimation of geological formation thermal conductivity by using stochastic approximation method based on well-log temperature data

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  • Cheng, Wen-Long
  • Huang, Yong-Hua
  • Liu, Na
  • Ma, Ran

Abstract

Thermal conductivity is a key parameter for evaluating wellbore heat losses which plays an important role in determining the efficiency of steam injection processes. In this study, an unsteady formation heat-transfer model was established and a cost-effective in situ method by using stochastic approximation method based on well-log temperature data was presented. The proposed method was able to estimate the thermal conductivity and the volumetric heat capacity of geological formation simultaneously under the in situ conditions. The feasibility of the present method was assessed by a sample test, the results of which shown that the thermal conductivity and the volumetric heat capacity could be obtained with the relative errors of −0.21% and −0.32%, respectively. In addition, three field tests were conducted based on the easily obtainable well-log temperature data from the steam injection wells. It was found that the relative errors of thermal conductivity for the three field tests were within ±0.6%, demonstrating the excellent performance of the proposed method for calculating thermal conductivity. The relative errors of volumetric heat capacity ranged from −6.1% to −14.2% for the three field tests. Sensitivity analysis indicated that this was due to the low correlation between the volumetric heat capacity and the wellbore temperature, which was used to generate the judgment criterion.

Suggested Citation

  • Cheng, Wen-Long & Huang, Yong-Hua & Liu, Na & Ma, Ran, 2012. "Estimation of geological formation thermal conductivity by using stochastic approximation method based on well-log temperature data," Energy, Elsevier, vol. 38(1), pages 21-30.
  • Handle: RePEc:eee:energy:v:38:y:2012:i:1:p:21-30
    DOI: 10.1016/j.energy.2011.12.047
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    References listed on IDEAS

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    1. Cheng, Wenlong & Ma, Ran & Xie, Kun & Liu, Na & Huang, Yonghua, 2011. "Simultaneous measurement of thermal properties by thermal probe using stochastic approximation method," Applied Energy, Elsevier, vol. 88(5), pages 1834-1840, May.
    2. Cheng, Wen-Long & Huang, Yong-Hua & Lu, De-Tang & Yin, Hong-Ru, 2011. "A novel analytical transient heat-conduction time function for heat transfer in steam injection wells considering the wellbore heat capacity," Energy, Elsevier, vol. 36(7), pages 4080-4088.
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    Cited by:

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    2. Sun, Fengrui & Yao, Yuedong & Chen, Mingqiang & Li, Xiangfang & Zhao, Lin & Meng, Ye & Sun, Zheng & Zhang, Tao & Feng, Dong, 2017. "Performance analysis of superheated steam injection for heavy oil recovery and modeling of wellbore heat efficiency," Energy, Elsevier, vol. 125(C), pages 795-804.
    3. 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.
    4. Cheng, Wen-Long & Li, Tong-Tong & Nian, Yong-Le & Wang, Chang-Long, 2013. "Studies on geothermal power generation using abandoned oil wells," Energy, Elsevier, vol. 59(C), pages 248-254.
    5. Cheng, Wen-Long & Li, Tong-Tong & Nian, Yong-Le & Xie, Kun, 2014. "Evaluation of working fluids for geothermal power generation from abandoned oil wells," Applied Energy, Elsevier, vol. 118(C), pages 238-245.
    6. Gu, Hao & Cheng, Linsong & Huang, Shijun & Du, Baojian & Hu, Changhao, 2014. "Prediction of thermophysical properties of saturated steam and wellbore heat losses in concentric dual-tubing steam injection wells," Energy, Elsevier, vol. 75(C), pages 419-429.
    7. Hou, Hongjuan & Du, Qiongjie & Huang, Chang & Zhang, Le & Hu, Eric, 2021. "An oil shale recovery system powered by solar thermal energy," Energy, Elsevier, vol. 225(C).
    8. Cheng, Wen-Long & Nian, Yong-Le & Li, Tong-Tong & Wang, Chang-Long, 2014. "A novel method for predicting spatial distribution of thermal properties and oil saturation of steam injection well from temperature logs," Energy, Elsevier, vol. 66(C), pages 898-906.
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