IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i13p4816-d853239.html
   My bibliography  Save this article

Steam Cavity Expansion Model for Steam Flooding in Deep Heavy Oil Reservoirs

Author

Listed:
  • Lina Zhang

    (Research Institute of Exploration & Production, Sinopec East China Oil & Gas Company, Nanjing 210000, China)

  • Dianfa Du

    (Key Laboratory of Unconventional Oil & Gas Development, Ministry of Education, Qingdao 266580, China
    College of Petroleum Engineering, China University of Petroleum, Qingdao 266000, China)

  • Yaozu Zhang

    (Key Laboratory of Unconventional Oil & Gas Development, Ministry of Education, Qingdao 266580, China
    College of Petroleum Engineering, China University of Petroleum, Qingdao 266000, China)

  • Xin Liu

    (Institute of Engineering Technology, Sinopec East China Oil & Gas Company, Nanjing 210000, China)

  • Jingang Fu

    (College of Petroleum Engineering, China University of Petroleum, Qingdao 266000, China
    Chemical and Petroleum Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada)

  • Yuan Li

    (Key Laboratory of Unconventional Oil & Gas Development, Ministry of Education, Qingdao 266580, China
    College of Petroleum Engineering, China University of Petroleum, Qingdao 266000, China)

  • Jianhua Ren

    (Research Institute of Exploration & Production, Sinopec East China Oil & Gas Company, Nanjing 210000, China)

Abstract

Steam flooding is crucial for the development of heavy oil reservoirs, and the development of the steam cavity significantly determines the efficiency of steam flooding. Previous studies have elucidated the concept of steam overburden and pseudomobility ratio; however, the thermal energy loss in deep heavy oil reservoirs during steam injection needs further investigation. Therefore, in this study, the vapour–liquid interface theory and mathematical integration were used to establish a steam cavity expansion model. The wellbore heat loss rate coefficient, steam overlay, and pseudomobility ratio were used to accurately describe the development of the steam cavity in deep heavy oil reservoirs. The proposed model was experimentally validated, and it was observed that the model could accurately reflect the actual mine conditions. In addition, the pressure gradient distribution of the steam belt and the heat dissipation areas of the top and bottom layers of the steam cavity were evaluated. The results showed that the influence of the wellbore heat loss rate coefficient on the pressure gradient of the oil layer was primarily in the range of 5–20 m away from the steam injection well. Furthermore, it was observed that the pseudomobility ratio is inversely proportional to the development of the steam cavity. As the wellbore heat loss rate coefficient increased, the wellbore heat loss increased. The larger the area ratio, the more pronounced the steam overlay phenomenon, and the large area ratio does not meet the development requirements of the steam chamber. The research closely combines theory with production, and the results of this study can help actual mines by providing theoretical support for the development of deep heavy oil reservoirs.

Suggested Citation

  • Lina Zhang & Dianfa Du & Yaozu Zhang & Xin Liu & Jingang Fu & Yuan Li & Jianhua Ren, 2022. "Steam Cavity Expansion Model for Steam Flooding in Deep Heavy Oil Reservoirs," Energies, MDPI, vol. 15(13), pages 1-15, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4816-:d:853239
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/13/4816/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/13/4816/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pang, Zhanxi & Wang, Luting & Yin, Fanghao & Lyu, Xiaocong, 2021. "Steam chamber expanding processes and bottom water invading characteristics during steam flooding in heavy oil reservoirs," Energy, Elsevier, vol. 234(C).
    2. Khansari, Zeinab & Kapadia, Punitkumar & Mahinpey, Nader & Gates, Ian D., 2014. "A new reaction model for low temperature oxidation of heavy oil: Experiments and numerical modeling," Energy, Elsevier, vol. 64(C), pages 419-428.
    Full references (including those not matched with items on IDEAS)

    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. Wang, Dechao & Jin, Lijun & Li, Yang & Yao, Demeng & Wang, Jiaofei & Hu, Haoquan, 2018. "Upgrading of vacuum residue with chemical looping partial oxidation over Ce doped Fe2O3," Energy, Elsevier, vol. 162(C), pages 542-553.
    3. Yong Huang & Wulin Xiao & Sen Chen & Boliang Li & Liping Du & Binfei Li, 2022. "A Study on the Adaptability of Nonhydrocarbon Gas-Assisted Steam Flooding to the Development of Heavy Oil Reservoirs," Energies, MDPI, vol. 15(13), pages 1-15, June.
    4. 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.
    5. Ling, Zhongqian & Zhou, Hao & Ren, Tao, 2015. "Effect of the flue gas recirculation supply location on the heavy oil combustion and NOx emission characteristics within a pilot furnace fired by a swirl burner," Energy, Elsevier, vol. 91(C), pages 110-116.
    6. Wang, Gang & Xie, Shuliang & Huang, Qiming & Wang, Enmao & Wang, Shuxin, 2023. "Study on the performances of fluorescent tracers for the wetting area detection of coal seam water injection," Energy, Elsevier, vol. 263(PE).
    7. Yang, Junyu & Xu, Qianghui & Jiang, Hang & Shi, Lin, 2021. "Reaction model of low asphaltene heavy oil from ramped temperature oxidation experimental analyses and numerical simulations," Energy, Elsevier, vol. 219(C).
    8. Zhao, Shuai & Pu, Wanfen & Peng, Xiaoqiang & Zhang, Jizhou & Ren, Hao, 2021. "Low-temperature oxidation of heavy crude oil characterized by TG, DSC, GC-MS, and negative ion ESI FT-ICR MS," Energy, Elsevier, vol. 214(C).
    9. Zhang, Fengming & Xu, Chunyan & Zhang, Yong & Chen, Shouyan & Chen, Guifang & Ma, Chunyuan, 2014. "Experimental study on the operating characteristics of an inner preheating transpiring wall reactor for supercritical water oxidation: Temperature profiles and product properties," Energy, Elsevier, vol. 66(C), pages 577-587.
    10. Du, Liping & Li, Binfei & Ji, Yanmin & Gai, Pingyuan & Lu, Teng & Li, Boliang & Wang, Jian, 2023. "A novel strategy to improve steam heat utilization and reduce carbon emissions during heavy oil development," Energy, Elsevier, vol. 266(C).
    11. Sun, Fengrui & Li, Chunlan & Cheng, Linsong & Huang, Shijun & Zou, Ming & Sun, Qun & Wu, Xiaojun, 2017. "Production performance analysis of heavy oil recovery by cyclic superheated steam stimulation," Energy, Elsevier, vol. 121(C), pages 356-371.
    12. Chen, Hao & Liu, Xiliang & Jia, Ninghong & Tian, Xiaofeng & Duncan, Ian & Yang, Ran & Yang, Shenglai, 2020. "The impact of the oil character and quartz sands on the thermal behavior and kinetics of crude oil," Energy, Elsevier, vol. 210(C).
    13. Xu, Shaotao & Lü, Xiaoshu & Sun, Youhong & Guo, Wei & Li, Qiang & Liu, Lang & Kang, Shijie & Deng, Sunhua, 2023. "Optimization of temperature parameters for the autothermic pyrolysis in-situ conversion process of oil shale," Energy, Elsevier, vol. 264(C).

    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:15:y:2022:i:13:p:4816-:d:853239. 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.