IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v307y2024ics0360544224023077.html
   My bibliography  Save this article

Experimental investigation on cyclic steam stimulation assisted modified THAI to enhance oil recovery in steam-treated heavy oil

Author

Listed:
  • Zhao, Renbao
  • Wang, Jiaying
  • Men, Ziyang
  • He, Jintang
  • Sun, Ziqi
  • Wang, Tiantian
  • Li, Xin
  • Yuan, Yuan
  • Xu, Han
  • Zhang, Haiyang

Abstract

Steam injection is well accepted as a main method for heavy oil reservoirs. Currently, most heavy oil reservoirs have reached the late stage of steam treatment and encountered various challenges thus alternative methods are needed to develop the remaining oil. CSS1 Assisted Modified THAI2 (CSSAMT) is proposed to be an effective follow-up method in heavy oil reservoirs treated by steam. CSSAMT combines the benefits of ISC3 and steam, with steam acting as a protective agent for production wells threatened by combustion as well as a restrainer for oxygen breakthrough. A 3-dimensional physical model was conducted for the experiment to simulate the process and investigate the mechanism. The result demonstrates the feasibility of the CSSAMT process with a high oxygen availability of 99.8% and an average apparent H/C ratio of 0.71, achieving an oil recovery factor of 44.01%. Optimal steam injection parameters were determined as a 0.03 T (dimensionless time)-soak period followed by a 0.06 T production period. Additionally, oil upgrading results were quantitatively described through the carbon number variations, and a prediction formula correlating the sweep efficiency and the carbon number variations was proposed, showing a correlation coefficient of 0.9.

Suggested Citation

  • Zhao, Renbao & Wang, Jiaying & Men, Ziyang & He, Jintang & Sun, Ziqi & Wang, Tiantian & Li, Xin & Yuan, Yuan & Xu, Han & Zhang, Haiyang, 2024. "Experimental investigation on cyclic steam stimulation assisted modified THAI to enhance oil recovery in steam-treated heavy oil," Energy, Elsevier, vol. 307(C).
    • Handle: RePEc:eee:energy:v:307:y:2024:i:c:s0360544224023077
    DOI: 10.1016/j.energy.2024.132533
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224023077
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.132533?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lin, Zeyu & Lu, Xinqian & Wang, Xiaoyan & Chang, Yuanhao & Kang, Kai & Zeng, Fanhua, 2024. "Effect of N2 impurity on CO2-based cyclic solvent injection process in enhancing heavy oil recovery and CO2 storage," Energy, Elsevier, vol. 290(C).
    2. Xiuyu Wang & Fuqiong Wang & Mohanad A. M. Taleb & Zhiyuan Wen & Xiulin Chen, 2022. "A Review of the Seepage Mechanisms of Heavy Oil Emulsions during Chemical Flooding," Energies, MDPI, vol. 15(22), pages 1-19, November.
    3. Jamshid-nezhad, Mohammad, 2022. "Steam alternating non-condensable gas injection for more heavy oil recovery," Energy, Elsevier, vol. 240(C).
    4. Dong, Xiaohu & Liu, Huiqing & Chen, Zhangxin & Wu, Keliu & Lu, Ning & Zhang, Qichen, 2019. "Enhanced oil recovery techniques for heavy oil and oilsands reservoirs after steam injection," Applied Energy, Elsevier, vol. 239(C), pages 1190-1211.
    5. 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.
    6. Fang, Yujia & Yang, Erlong & Guo, Songlin & Cui, Changyu & Zhou, Congcong, 2022. "Study on micro remaining oil distribution of polymer flooding in Class-II B oil layer of Daqing Oilfield," Energy, Elsevier, vol. 254(PC).
    7. Zhang, Jun, 2023. "Performance of high temperature steam injection in horizontal wells of heavy oil reservoirs," Energy, Elsevier, vol. 282(C).
    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. Zhang, Qichen & Liu, Huiqing & Kang, Xiaodong & Liu, Yisheng & Dong, Xiaohu & Wang, Yanwei & Liu, Siyi & Li, Guangbo, 2021. "An investigation of production performance by cyclic steam stimulation using horizontal well in heavy oil reservoirs," Energy, Elsevier, vol. 218(C).
    2. 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).
    3. Li, Jing & Zhang, Lisong & Yang, Feiyue & Sun, Luning, 2020. "Positive measure and potential implication for heavy oil recovery of dip reservoir using SAGD based on numerical analysis," Energy, Elsevier, vol. 193(C).
    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. Anufriev, I.S. & Kopyev, E.P. & Alekseenko, S.V. & Sharypov, O.V. & Vigriyanov, M.S., 2022. "New ecology safe waste-to-energy technology of liquid fuel combustion with superheated steam," Energy, Elsevier, vol. 250(C).
    6. Camilo Andrés Guerrero-Martin & Angie Tatiana Ortega-Ramírez & Paula Alejandra Perilla Rodríguez & Shalom Jireth Reyes López & Laura Estefanía Guerrero-Martin & Raúl Salinas-Silva & Stefanny Camacho-G, 2023. "Analysis of Environmental Sustainability through a Weighting Matrix in the Oil and Gas Industry," Sustainability, MDPI, vol. 15(11), pages 1-16, June.
    7. Yao, Yue & Sun, Deqiang & Xu, Jin-Hua & Wang, Bin & Peng, Guohong & Sun, Bingmei, 2023. "Evaluation of enhanced oil recovery methods for mature continental heavy oil fields in China based on geology, technology and sustainability criteria," Energy, Elsevier, vol. 278(PB).
    8. Li, Yujie & Zhai, Cheng & Sun, Yong & Xu, Jizhao & Yu, Xu & Huang, Ting, 2023. "Characterizing water vapor adsorption on coal by nuclear magnetic resonance: Influence of coal pore structure and surface properties," Energy, Elsevier, vol. 282(C).
    9. Wang, Sen & Qin, Chaoxu & Feng, Qihong & Javadpour, Farzam & Rui, Zhenhua, 2021. "A framework for predicting the production performance of unconventional resources using deep learning," Applied Energy, Elsevier, vol. 295(C).
    10. Chai, Maojie & Nourozieh, Hossein & Chen, Zhangxin & Yang, Min, 2022. "A semi-compositional approach to model asphaltene precipitation and deposition in solvent-based bitumen recovery processes," Applied Energy, Elsevier, vol. 328(C).
    11. Laura Osma & Luis García & Romel Pérez & Carolina Barbosa & Jesús Botett & Jorge Sandoval & Eduardo Manrique, 2019. "Benefit–Cost and Energy Efficiency Index to Support the Screening of Hybrid Cyclic Steam Stimulation Methods," Energies, MDPI, vol. 12(24), pages 1-16, December.
    12. Mateus-Rubiano, Camilo & Castillo, Andrea C. & León, Paola & Rueda, Luis & Molina V, Daniel & Leon, Adan Y., 2024. "Effect of hydrotreatment process on the physicochemical properties of a Colombian heavy crude oil post-catalytic aquathermolysis," Energy, Elsevier, vol. 298(C).
    13. Zhou, Guangzhao & Guo, Zanquan & Sun, Simin & Jin, Qingsheng, 2023. "A CNN-BiGRU-AM neural network for AI applications in shale oil production prediction," Applied Energy, Elsevier, vol. 344(C).
    14. Yu, Peng, 2022. "Posterior probability-based hydraulic unit division and prediction: A case study," Energy, Elsevier, vol. 246(C).
    15. Huang, Lijuan & Wang, Yu & Li, Zongfa & Zhang, Liang & Yin, Yuchuan & Chen, Chao & Ren, Shaoran, 2021. "Experimental study on piloted ignition temperature and auto ignition temperature of heavy oils at high pressure," Energy, Elsevier, vol. 229(C).
    16. 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.
    17. Keyang Cheng & Yongjian Liu & Zhilin Qi & Jie Tian & Taotao Luo & Shaobin Hu & Jun Li, 2022. "Laboratory Evaluation of the Plugging Performance of an Inorganic Profile Control Agent for Thermal Oil Recovery," Energies, MDPI, vol. 15(15), pages 1-10, July.
    18. Mingchen Ding & Ping Liu & Yefei Wang & Zhenyu Zhang & Jiangyang Dong & Yingying Duan, 2023. "Adaptability to Enhance Heavy Oil Recovery by Combination and Foam Systems with Fine-Emulsification Properties," Energies, MDPI, vol. 16(21), pages 1-12, October.
    19. Wei, Jianguang & Zhang, Dong & Zhou, Xiaofeng & Zhou, Runnan & Shamil, Sultanov & Li, Jiangtao & Gayubov, Abdumalik & Hadavimoghaddam, Fahimeh & Chen, Yinghe & Xia, Bing & Fu, Ping & Wang, Yue, 2024. "Characterization of pore structures after ASP flooding for post-EOR," Energy, Elsevier, vol. 300(C).
    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:eee:energy:v:307:y:2024:i:c:s0360544224023077. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.