IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v134y2017icp181-192.html

Performance evaluation of CO2 Huff-n-Puff and continuous CO2 injection in tight oil reservoirs

Author

Listed:
  • Zuloaga, Pavel
  • Yu, Wei
  • Miao, Jijun
  • Sepehrnoori, Kamy

Abstract

The CO2-enhanced oil recovery (EOR) effectiveness was simulated and analyzed by comparing Huff-n-Puff and continuous injection scenarios. A field-scale numerical compositional reservoir model was built based on typical fluid, reservoir, and fracture properties from the Middle Bakken Formation. The effect of matrix permeability ranging from 0.001 mD to 0.1 mD on the comparison of well performance of these two scenarios was investigated. A critical value of permeability was identified. When the permeability is lower than 0.03 mD, the CO2 Huff-n-Puff performs better than the continuous CO2 injection. Subsequently, experiment design and response surface methodology was used to perform sensitivity studies with four uncertain parameters including matrix permeability, number of wells, well pattern, and fracture half-length. The results show that the matrix permeability is the most significant parameter, followed by well pattern and the interaction between fracture half-length and number of wells. Furthermore, three diagnostic contour plots corresponding to 4, 6, and 8 horizontal wells per square mile were generated. Based on these plots, it is convenient to identify the best zone with better CO2-EOR effectiveness for different CO2 injection scenarios. This study can provide a very useful tool for a better understanding of CO2-EOR strategy determination in tight oil reservoirs.

Suggested Citation

  • Zuloaga, Pavel & Yu, Wei & Miao, Jijun & Sepehrnoori, Kamy, 2017. "Performance evaluation of CO2 Huff-n-Puff and continuous CO2 injection in tight oil reservoirs," Energy, Elsevier, vol. 134(C), pages 181-192.
    • Handle: RePEc:eee:energy:v:134:y:2017:i:c:p:181-192
    DOI: 10.1016/j.energy.2017.06.028
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217310228
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.06.028?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Dobos, László & Abonyi, János, 2011. "Controller tuning of district heating networks using experiment design techniques," Energy, Elsevier, vol. 36(8), pages 4633-4639.
    2. Ren, Bo & Ren, Shaoran & Zhang, Liang & Chen, Guoli & Zhang, Hua, 2016. "Monitoring on CO2 migration in a tight oil reservoir during CCS-EOR in Jilin Oilfield China," Energy, Elsevier, vol. 98(C), pages 108-121.
    3. Brandt, Adam R. & Yeskoo, Tim & Vafi, Kourosh, 2015. "Net energy analysis of Bakken crude oil production using a well-level engineering-based model," Energy, Elsevier, vol. 93(P2), pages 2191-2198.
    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. Kun Qian & Shenglai Yang & Hongen Dou & Qian Wang & Lu Wang & Yu Huang, 2018. "Experimental Investigation on Microscopic Residual Oil Distribution During CO 2 Huff-and-Puff Process in Tight Oil Reservoirs," Energies, MDPI, vol. 11(10), pages 1-16, October.
    2. Reyhaneh Ghorbani Heidarabad & Kyuchul Shin, 2024. "Carbon Capture and Storage in Depleted Oil and Gas Reservoirs: The Viewpoint of Wellbore Injectivity," Energies, MDPI, vol. 17(5), pages 1-24, March.
    3. Bossink, Bart A.G., 2017. "Demonstrating sustainable energy: A review based model of sustainable energy demonstration projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1349-1362.
    4. Cai, Mingyu & Su, Yuliang & Elsworth, Derek & Li, Lei & Fan, Liyao, 2021. "Hydro-mechanical-chemical modeling of sub-nanopore capillary-confinement on CO2-CCUS-EOR," Energy, Elsevier, vol. 225(C).
    5. Bracco, Stefano & Delfino, Federico & Pampararo, Fabio & Robba, Michela & Rossi, Mansueto, 2013. "The University of Genoa smart polygeneration microgrid test-bed facility: The overall system, the technologies and the research challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 442-459.
    6. Montgomery, J.B. & O’Sullivan, F.M., 2017. "Spatial variability of tight oil well productivity and the impact of technology," Applied Energy, Elsevier, vol. 195(C), pages 344-355.
    7. Klemeš, Jiří Jaromír & Wang, Qiu-Wang & Varbanov, Petar Sabev & Zeng, Min & Chin, Hon Huin & Lal, Nathan Sanjay & Li, Nian-Qi & Wang, Bohong & Wang, Xue-Chao & Walmsley, Timothy Gordon, 2020. "Heat transfer enhancement, intensification and optimisation in heat exchanger network retrofit and operation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    8. Chen, Bailian & Pawar, Rajesh J., 2019. "Characterization of CO2 storage and enhanced oil recovery in residual oil zones," Energy, Elsevier, vol. 183(C), pages 291-304.
    9. Jing, Jing & Yang, Yanlin & Cheng, Jianmei & Ding, Zhaojing & Wang, Dandan & Jing, Xianwen, 2023. "Analysis of the effect of formation dip angle and injection pressure on the injectivity and migration of CO2 during storage," Energy, Elsevier, vol. 280(C).
    10. Shamshirband, Shahaboddin & Petković, Dalibor & Enayatifar, Rasul & Hanan Abdullah, Abdul & Marković, Dušan & Lee, Malrey & Ahmad, Rodina, 2015. "Heat load prediction in district heating systems with adaptive neuro-fuzzy method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 760-767.
    11. Lingbin Meng & Jing Zheng & Ruizhao Yang & Suping Peng & Yuan Sun & Jingyu Xie & Dewei Li, 2023. "Microseismic Monitoring Technology Developments and Prospects in CCUS Injection Engineering," Energies, MDPI, vol. 16(7), pages 1-21, March.
    12. Salehi, Mohammad & Khajehpour, Hossein & Saboohi, Yadollah, 2020. "Extended Energy Return on Investment of multiproduct energy systems," Energy, Elsevier, vol. 192(C).
    13. Xie, Huaxiao & Liang, Dong & Peng, Hao & Wei, Xinru & Zhao, Jiale & Fu, Jinman & Zhang, Jun & Yan, Youguo, 2025. "Insight into sweeping and oil washing mechanisms in CO2 immiscible and miscible flooding: A study of computational fluid dynamics," Energy, Elsevier, vol. 334(C).
    14. Wang, Jianliang & Liu, Mingming & McLellan, Benjamin C. & Tang, Xu & Feng, Lianyong, 2017. "Environmental impacts of shale gas development in China: A hybrid life cycle analysis," Resources, Conservation & Recycling, Elsevier, vol. 120(C), pages 38-45.
    15. Lončar, D. & Ridjan, I., 2012. "Medium term development prospects of cogeneration district heating systems in transition country – Croatian case," Energy, Elsevier, vol. 48(1), pages 32-39.
    16. Ke Wang & Harrie Vredenburg & Jianliang Wang & Yi Xiong & Lianyong Feng, 2017. "Energy Return on Investment of Canadian Oil Sands Extraction from 2009 to 2015," Energies, MDPI, vol. 10(5), pages 1-13, May.
    17. Delannoy, Louis & Longaretti, Pierre-Yves & Murphy, David J. & Prados, Emmanuel, 2021. "Peak oil and the low-carbon energy transition: A net-energy perspective," Applied Energy, Elsevier, vol. 304(C).
    18. Huang, Chen & Gu, Baihe & Chen, Yingchao & Tan, Xianchun & Feng, Lianyong, 2019. "Energy return on energy, carbon, and water investment in oil and gas resource extraction: Methods and applications to the Daqing and Shengli oilfields," Energy Policy, Elsevier, vol. 134(C).
    19. Yang, Mingyang & Huang, Shijun & Zhao, Fenglan & Yang, Changhe, 2025. "A novel hybrid finite-infinite diffusion model for determining CO2 diffusion coefficient in oil-saturated porous media: Applications for enhanced oil recovery and geological carbon storage," Energy, Elsevier, vol. 316(C).
    20. Manfroni, Michele & Bukkens, Sandra G.F. & Giampietro, Mario, 2021. "The declining performance of the oil sector: Implications for global climate change mitigation," Applied Energy, Elsevier, vol. 298(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:134:y:2017:i:c:p:181-192. 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.