IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v8y2015i10p11153-11166d56840.html
   My bibliography  Save this article

Determination of Enhanced Oil Recovery Candidate Fields in the Volga-Ural Oil and Gas Region Territory

Author

Listed:
  • Mikhail Turbakov

    (Department of Oil and Gas Technologies, Perm National Research Polytechnic University, 29, Komsomolskii av., Perm 614990, Russia)

  • Аleksandr Shcherbakov

    (Department of Oil and Gas Technologies, Perm National Research Polytechnic University, 29, Komsomolskii av., Perm 614990, Russia)

Abstract

Most of the current Russian oil production comes from mature fields. The application of enhanced oil recovery methods on oil fields increases recovery efficiency. This article presents an analysis of the increased field development efficiency methods of the Volga-Ural oil and gas region, which allows the full and efficient development of last-stage fields with unconventional reserves and production stabilization. The selection of the optimum method for a given field is a complex procedure consisting of many stages, from collecting data about the field, through more advanced data interpretation, to working out a detailed proposal for the most efficient extraction method. In this article the instantaneous and average annual growth above wells average was taken as a performance criterion for enhanced oil recovery methods. Based on the performed analysis, it follows that candidate wells for enhanced oil recovery method use must meet the I group parameters (high values of the remaining recoverable reserves and improved reservoir properties, low water cut, obtained oil rate increase). In order to assess the possible increase in production rate after enhanced oil recovery methods hydrodynamic modeling of radial drilling, acid treatment and water-alternated-gas injection for two oil fields of the Volga-Ural oil and gas region were performed.

Suggested Citation

  • Mikhail Turbakov & Аleksandr Shcherbakov, 2015. "Determination of Enhanced Oil Recovery Candidate Fields in the Volga-Ural Oil and Gas Region Territory," Energies, MDPI, vol. 8(10), pages 1-14, October.
  • Handle: RePEc:gam:jeners:v:8:y:2015:i:10:p:11153-11166:d:56840
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/8/10/11153/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/8/10/11153/
    Download Restriction: no
    ---><---

    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.
    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. Evgenii Kozhevnikov & Evgenii Riabokon & Mikhail Turbakov, 2021. "A Model of Reservoir Permeability Evolution during Oil Production," Energies, MDPI, vol. 14(9), pages 1-16, May.
    2. Wenxiang Chen & Zubo Zhang & Qingjie Liu & Xu Chen & Prince Opoku Appau & Fuyong Wang, 2018. "Experimental Investigation of Oil Recovery from Tight Sandstone Oil Reservoirs by Pressure Depletion," Energies, MDPI, vol. 11(10), pages 1-17, October.

    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. 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.
    2. Sapkota, Krishna & Oni, Abayomi Olufemi & Kumar, Amit & Linwei, Ma, 2018. "The development of a techno-economic model for the extraction, transportation, upgrading, and shipping of Canadian oil sands products to the Asia-Pacific region," Applied Energy, Elsevier, vol. 223(C), pages 273-292.
    3. Leporini, Mariella & Marchetti, Barbara & Corvaro, Francesco & Polonara, Fabio, 2019. "Reconversion of offshore oil and gas platforms into renewable energy sites production: Assessment of different scenarios," Renewable Energy, Elsevier, vol. 135(C), pages 1121-1132.
    4. Ahmadi, Mohammadali & Hou, Qingfeng & Wang, Yuanyuan & Lei, Xuantong & Liu, Benjieming & Chen, Zhangxin, 2023. "Spotlight on reversible emulsification and demulsification of tetradecane-water mixtures using CO2/N2 switchable surfactants: Molecular dynamics (MD) simulation," Energy, Elsevier, vol. 279(C).
    5. Zhao, Renbao & Yu, Shuai & Yang, Jie & Heng, Minghao & Zhang, Chunhui & Wu, Yahong & Zhang, Jianhua & Yue, Xiang-an, 2018. "Optimization of well spacing to achieve a stable combustion during the THAI process," Energy, Elsevier, vol. 151(C), pages 467-477.
    6. 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.
    7. 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.
    8. Li, Pengliang & Liu, Zhenyi & Li, Mingzhi & Zhao, Yao & Qian, Xinming & Ren, Yuan, 2023. "Investigation on the reaction mechanism of methane combustion near flammability limits at elevated pressures and temperaturaes," Energy, Elsevier, vol. 269(C).
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. 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).
    14. 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).
    15. 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).
    16. 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.
    17. Jinze Xu & Zhangxin Chen & Xiaohu Dong & Wei Zhou, 2017. "Effects of Lean Zones on Steam-Assisted Gravity Drainage Performance," Energies, MDPI, vol. 10(4), pages 1-16, April.
    18. Ashrafi, Omid & Navarri, Philippe & Hughes, Robin & Lu, Dennis, 2016. "Heat recovery optimization in a steam-assisted gravity drainage (SAGD) plant," Energy, Elsevier, vol. 111(C), pages 981-990.
    19. Baghernezhad, Danial & Siavashi, Majid & Nakhaee, Ali, 2019. "Optimal scenario design of steam-assisted gravity drainage to enhance oil recovery with temperature and rate control," Energy, Elsevier, vol. 166(C), pages 610-623.
    20. 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.

    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:8:y:2015:i:10:p:11153-11166:d:56840. 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.