IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v239y2022ipes0360544221026347.html
   My bibliography  Save this article

Numerical study on non-Newtonian Bingham fluid flow in development of heavy oil reservoirs using radiofrequency heating method

Author

Listed:
  • Zhang, Qitao
  • Liu, Wenchao
  • Dahi Taleghani, Arash

Abstract

Nowadays, development of heavy oil usually demands massive hot water injection and meanwhile produces considerable carbon footprint. Radiofrequency (RF) heating, as a “Non-aqueous” method, has potentials to be a cleaner and efficient way for heavy oil development in near future. In this paper, we presented a novel numerical model for simulating non-Newtonian Bingham fluid flow in heavy oil reservoirs based on RF heating. Compared to previous studies, this paper focuses on issues including: (1) Application of RF heating in heavy oil reservoir; (2) Non-Darcy flow induced by threshold pressure gradient (TPG) of Bingham fluid; (3) Temperature dependent TPG and viscosity; (4) Two-way coupling between non-Darcy flow, transient heat transfer and electromagnetic (EM) field. To incorporate TPG in numerical analyses, an effective method was utilized by modifying the gravitational acceleration vector in Darcy's law. This method was verified with analytical solution. By doing this, the induced moving boundary by TPG can be simulated, and pressure-disturbed area can be determined. Results show that RF heating significantly mitigates the impediment induced by TPG and high viscosity near well. The moving boundary stops motion at around 1000th day of production and the extreme disturbed distance is 63 m. Besides, it is found that no matter whether TPG is considered or not, RF heating has a positive impact on the reservoir development. However, for the production time less than 1000 days, RF heating is more effective when TPG is considered. Finally, we also found it very necessary to incorporate TPG in the simulations to determine optimal well spacing. If TPG is neglected in kinematic equation, the optimal well spacing would be overestimated by over 50%. At the same time, the change of TPG value with temperature cannot be ignored. Otherwise, the optimal well spacing would be underestimated by 15%. This paper reveals the potentials of RF heating method for non-Newtonian Bingham fluid production and provides an alternative way for clean, environmental, and highly efficient development of heavy oil reservoir.

Suggested Citation

  • Zhang, Qitao & Liu, Wenchao & Dahi Taleghani, Arash, 2022. "Numerical study on non-Newtonian Bingham fluid flow in development of heavy oil reservoirs using radiofrequency heating method," Energy, Elsevier, vol. 239(PE).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pe:s0360544221026347
    DOI: 10.1016/j.energy.2021.122385
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221026347
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.122385?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. Giacchetta, Giancarlo & Leporini, Mariella & Marchetti, Barbara, 2015. "Economic and environmental analysis of a Steam Assisted Gravity Drainage (SAGD) facility for oil recovery from Canadian oil sands," Applied Energy, Elsevier, vol. 142(C), pages 1-9.
    2. Bera, Achinta & Babadagli, Tayfun, 2015. "Status of electromagnetic heating for enhanced heavy oil/bitumen recovery and future prospects: A review," Applied Energy, Elsevier, vol. 151(C), pages 206-226.
    3. Luo, Erhui & Fan, Zifei & Hu, Yongle & Zhao, Lun & Bo, Bing & Yu, Wei & Liang, Hongwei & Liu, Minghui & Liu, Yunyang & He, Congge & Wang, Jianjun, 2020. "An efficient optimization framework of cyclic steam stimulation with experimental design in extra heavy oil reservoirs," Energy, Elsevier, vol. 192(C).
    4. Liu, Yongge & Liu, Xiaoyu & Hou, Jian & Li, Huazhou Andy & Liu, Yueliang & Chen, Zhangxin, 2019. "Technical and economic feasibility of a novel heavy oil recovery method: Geothermal energy assisted heavy oil recovery," Energy, Elsevier, vol. 181(C), pages 853-867.
    5. Kraemer, Daniel & Bajpayee, Anurag & Muto, Andy & Berube, Vincent & Chiesa, Matteo, 2009. "Solar assisted method for recovery of bitumen from oil sand," Applied Energy, Elsevier, vol. 86(9), pages 1437-1441, September.
    6. Jun Yao & Wenchao Liu & Zhangxin Chen, 2013. "Numerical Solution of a Moving Boundary Problem of One-Dimensional Flow in Semi-Infinite Long Porous Media with Threshold Pressure Gradient," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-7, December.
    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. Zhang, Qitao & Dahi Taleghani, Arash, 2023. "Autonomous fracture flow tunning to enhance efficiency of fractured geothermal systems," Energy, Elsevier, vol. 281(C).

    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. Alade, Olalekan S. & Mahmoud, Mohamed & Al Shehri, Dhafer & Mokheimer, Esmail M.A. & Sasaki, Kyuro & Ohashi, Ryo & Kamal, Muhammad Shahzad & Muhammad, Isah & Al-Nakhli, Ayman, 2022. "Experimental and numerical studies on production scheme to improve energy efficiency of bitumen production through insitu oil-in-water (O/W) emulsion," Energy, Elsevier, vol. 244(PA).
    2. Rui, Zhenhua & Wang, Xiaoqing & Zhang, Zhien & Lu, Jun & Chen, Gang & Zhou, Xiyu & Patil, Shirish, 2018. "A realistic and integrated model for evaluating oil sands development with Steam Assisted Gravity Drainage technology in Canada," Applied Energy, Elsevier, vol. 213(C), pages 76-91.
    3. 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.
    4. Liu, Hao & Cheng, Linsong & Wu, Keliu & Huang, Shijun & Maini, Brij B., 2018. "Assessment of energy efficiency and solvent retention inside steam chamber of steam- and solvent-assisted gravity drainage process," Applied Energy, Elsevier, vol. 226(C), pages 287-299.
    5. Xia, Wenjie & Shen, Weijun & Yu, Li & Zheng, Chenggang & Yu, Weichu & Tang, Yongchun, 2016. "Conversion of petroleum to methane by the indigenous methanogenic consortia for oil recovery in heavy oil reservoir," Applied Energy, Elsevier, vol. 171(C), pages 646-655.
    6. Soiket, Md.I.H. & Oni, A.O. & Gemechu, E.D. & Kumar, A., 2019. "Life cycle assessment of greenhouse gas emissions of upgrading and refining bitumen from the solvent extraction process," Applied Energy, Elsevier, vol. 240(C), pages 236-250.
    7. Lazzaroni, Edoardo Filippo & Elsholkami, Mohamed & Arbiv, Itai & Martelli, Emanuele & Elkamel, Ali & Fowler, Michael, 2016. "Energy infrastructure modeling for the oil sands industry: Current situation," Applied Energy, Elsevier, vol. 181(C), pages 435-445.
    8. Cheng, Linsong & Liu, Hao & Huang, Shijun & Wu, Keliu & Chen, Xiao & Wang, Daigang & Xiong, Hao, 2018. "Environmental and economic benefits of Solvent-Assisted Steam-Gravity Drainage for bitumen through horizontal well: A comprehensive modeling analysis," Energy, Elsevier, vol. 164(C), pages 418-431.
    9. Wang, Zhengxu & Gao, Deli & Diao, Binbin & Zhang, Wei, 2020. "The influence of casing properties on performance of radio frequency heating for oil sands recovery," Applied Energy, Elsevier, vol. 261(C).
    10. Jia Liu & Jianguo Wang & Chunfai Leung & Feng Gao, 2018. "A Fully Coupled Numerical Model for Microwave Heating Enhanced Shale Gas Recovery," Energies, MDPI, vol. 11(6), pages 1-28, June.
    11. 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).
    12. Zhou, Yuhao & Wang, Yanwei, 2022. "An integrated framework based on deep learning algorithm for optimizing thermochemical production in heavy oil reservoirs," Energy, Elsevier, vol. 253(C).
    13. Zhou, Xiang & Yuan, Qingwang & Rui, Zhenhua & Wang, Hanyi & Feng, Jianwei & Zhang, Liehui & Zeng, Fanhua, 2019. "Feasibility study of CO2 huff 'n' puff process to enhance heavy oil recovery via long core experiments," Applied Energy, Elsevier, vol. 236(C), pages 526-539.
    14. Zhang, Lisong & Li, Jing & Sun, Luning & Yang, Feiyue, 2021. "An influence mechanism of shale barrier on heavy oil recovery using SAGD based on theoretical and numerical analysis," Energy, Elsevier, vol. 216(C).
    15. Diego Manfre Jaimes & Ian D. Gates & Matthew Clarke, 2019. "Reducing the Energy and Steam Consumption of SAGD Through Cyclic Solvent Co-Injection," Energies, MDPI, vol. 12(20), pages 1-28, October.
    16. Zhou, Xiang & Li, Xiuluan & Shen, Dehuang & Shi, Lanxiang & Zhang, Zhien & Sun, Xinge & Jiang, Qi, 2022. "CO2 huff-n-puff process to enhance heavy oil recovery and CO2 storage: An integration study," Energy, Elsevier, vol. 239(PB).
    17. Soria, Rafael & Portugal-Pereira, Joana & Szklo, Alexandre & Milani, Rodrigo & Schaeffer, Roberto, 2015. "Hybrid concentrated solar power (CSP)–biomass plants in a semiarid region: A strategy for CSP deployment in Brazil," Energy Policy, Elsevier, vol. 86(C), pages 57-72.
    18. 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).
    19. Lyu, Chaohui & Zhong, Liguo & Wang, Qing & Zhang, Wei & Han, Xiaodong & Chen, Mingqiang & Zhu, Yu & Yang, Jiawang, 2023. "Core scale analysis of low viscosity oil injection in enhancing oil recovery of heavy oil reservoirs," Energy, Elsevier, vol. 275(C).
    20. Giacchetta, Giancarlo & Leporini, Mariella & Marchetti, Barbara, 2015. "Economic and environmental analysis of a Steam Assisted Gravity Drainage (SAGD) facility for oil recovery from Canadian oil sands," Applied Energy, Elsevier, vol. 142(C), pages 1-9.

    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:239:y:2022:i:pe:s0360544221026347. 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.