IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i16p4760-d608961.html
   My bibliography  Save this article

A Novel Temperature Prediction Model Considering Stress Sensitivity for the Multiphase Fractured Horizontal Well in Tight Reservoirs

Author

Listed:
  • Yonggang Duan

    (State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China)

  • Ruiduo Zhang

    (State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China)

  • Mingqiang Wei

    (State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China)

Abstract

An accurate temperature profile of the multi-stage fractured horizontal well is the foundation of production profile interpretation using distributed temperature sensing. In this paper, an oil-water two-phase flow multi-stage fractured horizontal well temperature prediction model considering stress sensitivity effect and the Joule–Thomson effect is constructed. Based on the simulation calculation, the wellbore temperature variation under different formation parameters, water cuts, and fracture parameters is discussed. The wellbore temperature distribution in multistage fractured horizontal wells is affected by many factors. According to the principle of orthogonal experimental design, the difference between wellbore temperature and initial formation temperature is selected as the analysis condition. Sixteen groups of orthogonal experimental calculations are designed and conducted. By analyzing the experimental results, it is found that the fracture half-length, water production, and formation permeability are the main controlling factors of the wellbore temperature profile. Finally, the production profile of the well is determined by calculating the temperature profile of a tight oil well and fitting it to the measured data of distributed temperature sensing.

Suggested Citation

  • Yonggang Duan & Ruiduo Zhang & Mingqiang Wei, 2021. "A Novel Temperature Prediction Model Considering Stress Sensitivity for the Multiphase Fractured Horizontal Well in Tight Reservoirs," Energies, MDPI, vol. 14(16), pages 1-12, August.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4760-:d:608961
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/16/4760/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/16/4760/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jianchao Cai & Reza Rezaee & Victor Calo, 2022. "Recent Advances in Multiscale Petrophysics Characterization and Multiphase Flow in Unconventional Reservoirs," Energies, MDPI, vol. 15(8), pages 1-2, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Nian, Yong-Le & Cheng, Wen-Long, 2018. "Insights into geothermal utilization of abandoned oil and gas wells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 87(C), pages 44-60.
    3. 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.
    4. Cheng, Wen-Long & Liu, Jian & Nian, Yong-Le & Wang, Chang-Long, 2016. "Enhancing geothermal power generation from abandoned oil wells with thermal reservoirs," Energy, Elsevier, vol. 109(C), pages 537-545.
    5. Song, Xianzhi & Shi, Yu & Li, Gensheng & Shen, Zhonghou & Hu, Xiaodong & Lyu, Zehao & Zheng, Rui & Wang, Gaosheng, 2018. "Numerical analysis of the heat production performance of a closed loop geothermal system," Renewable Energy, Elsevier, vol. 120(C), pages 365-378.
    6. 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.
    7. Roostaie, M. & Leonenko, Y., 2020. "Gas production from methane hydrates upon thermal stimulation; an analytical study employing radial coordinates," Energy, Elsevier, vol. 194(C).
    8. Wang, Huaijing, 2023. "Modeling of multiple thermal fluid circulation in horizontal section of wellbores," Energy, Elsevier, vol. 282(C).
    9. Nian, Yong-Le & Cheng, Wen-Long, 2018. "Evaluation of geothermal heating from abandoned oil wells," Energy, Elsevier, vol. 142(C), pages 592-607.
    10. Cheng, Wen-Long & Wang, Chang-Long & Nian, Yong-Le & Han, Bing-Bing & Liu, Jian, 2016. "Analysis of influencing factors of heat extraction from enhanced geothermal systems considering water losses," Energy, Elsevier, vol. 115(P1), pages 274-288.
    11. 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.
    12. Jia, G.S. & Ma, Z.D. & Xia, Z.H. & Zhang, Y.P. & Xue, Y.Z. & Chai, J.C. & Jin, L.W., 2022. "A finite-volume method for full-scale simulations of coaxial borehole heat exchangers with different structural parameters, geological and operating conditions," Renewable Energy, Elsevier, vol. 182(C), pages 296-313.
    13. 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.
    14. 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).
    15. 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.
    16. 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.
    17. Guoshu Huang & Huolin Ma & Xiangyun Hu & Jianchao Cai & Jiabin Li & Hongqing Luo & Heping Pan, 2019. "A Coupled Model of Two-Phase Fluid Flow and Heat Transfer to Transient Temperature Distribution and Seepage Characteristics for Water-Flooding Production Well with Multiple Pay Zones," Energies, MDPI, vol. 12(10), pages 1-33, May.
    18. Zhang, Jun, 2023. "Performance of high temperature steam injection in horizontal wells of heavy oil reservoirs," Energy, Elsevier, vol. 282(C).
    19. Nie, Bin & Sun, Sijia, 2023. "Thermal recovery of coalbed methane: Modeling of heat and mass transfer in wellbores," Energy, Elsevier, vol. 263(PD).
    20. Peng Li & Yanyu Zhang & Xiaofei Sun & Huijuan Chen & Yang Liu, 2020. "A Numerical Model for Investigating the Steam Conformance along the Dual-String Horizontal Wells in SAGD Operations," Energies, MDPI, vol. 13(15), pages 1-38, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4760-:d:608961. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.