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A novel method for predicting spatial distribution of thermal properties and oil saturation of steam injection well from temperature logs

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  • Cheng, Wen-Long
  • Nian, Yong-Le
  • Li, Tong-Tong
  • Wang, Chang-Long

Abstract

Formation and reservoir of steam injection well thermal properties are important parameters for evaluating thermal efficiency of thermal recovery process. Oil saturation of reservoir is also a crucial criterion for evaluating exploitation value of oil field. This study firstly presents a layered inversion method for estimating the spatial distributions of formation and reservoir thermal properties from temperature logs, and then the distribution of oil saturation in reservoir is predicted by a semi-empirical oil saturation model with the inversion thermal properties distributions. The proposed method was based on the heat transfer in steam injection well. Sensitivity analysis was firstly conducted to investigate the sensitivity of uncertain parameters, determining the inversion sequence. Then the spatial distributions of thermal properties were obtained by the layered inversion method, which reflected the diversity in physical properties of different wells and depth variability. Consequently, the present method not only could estimate effectively the thermal properties distributions which showed variability over the whole spread in depth; but also was able to predict reservoir depth by the significant change in thermal properties distributions between formation and reservoir. Above all, the estimated oil saturation distribution agreed well with the field data with relative error below 10%.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:66:y:2014:i:c:p:898-906
    DOI: 10.1016/j.energy.2013.12.074
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    1. Cheng, Wen-Long & Nian, Yong-Le & Li, Tong-Tong & Wang, Chang-Long, 2013. "Estimation of oil reservoir thermal properties through temperature log data using inversion method," Energy, Elsevier, vol. 55(C), pages 1186-1195.
    2. 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.
    3. 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.
    4. 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.
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    Citations

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    Cited by:

    1. Fengrui Sun & Yuedong Yao & Xiangfang Li & Guozhen Li & Liang Huang & Hao Liu & Zhili Chen & Qing Liu & Wenyuan Liu & Meng Cao & Song Han, 2018. "Exploitation of heavy oil by supercritical CO2: Effect analysis of supercritical CO2 on H2O at superheated state in integral joint tubing and annuli," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 8(3), pages 557-569, June.
    2. Zhang, Xishun & Shi, Junfeng & Zhao, Ruidong & Ma, Gaoqiang & Li, Zhongyang & Wang, Xiaofei & Zhang, Jinke, 2024. "Simulation of wellbore pipe flow in oil production engineering: Offshore concentric double-tube CO2-assisted superheated steam wellbore during SAGD process of heavy oil reservoirs," Energy, Elsevier, vol. 294(C).
    3. Sun, Fengrui & Yao, Yuedong & Li, Xiangfang, 2018. "The heat and mass transfer characteristics of superheated steam coupled with non-condensing gases in horizontal wells with multi-point injection technique," Energy, Elsevier, vol. 143(C), pages 995-1005.
    4. 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.
    5. Langfeng Mu & Qiushi Zhang & Qi Li & Fanhua Zeng, 2018. "A Comparison of Thermal Models for Temperature Profiles in Gas-Lift Wells," Energies, MDPI, vol. 11(3), pages 1-18, February.
    6. Nian, Yong-Le & Wang, Xiang-Yang & Xie, Kun & Cheng, Wen-Long, 2020. "Estimation of ground thermal properties for coaxial BHE through distributed thermal response test," Renewable Energy, Elsevier, vol. 152(C), pages 1209-1219.
    7. Zhang, Zheng & Wei, Yongqi & Xiong, Youming & Peng, Geng & Wang, Guorong & Lu, Jingsheng & Zhong, Lin & Wang, Jingpeng, 2022. "Influence of the location of drilling fluid loss on wellbore temperature distribution during drilling," Energy, Elsevier, vol. 244(PB).
    8. 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.

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