IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i12p2064-d121734.html
   My bibliography  Save this article

A New Model for Describing the Rheological Behavior of Heavy and Extra Heavy Crude Oils in the Presence of Nanoparticles

Author

Listed:
  • Esteban A. Taborda

    (Grupo de Investigación en Fenómenos de Superficie–Michael Polanyi, Facultad de Minas, Universidad Nacional de Colombia Sede-Medellín, Kra 80 No. 65-223, Medellín, Colombia)

  • Camilo A. Franco

    (Grupo de Investigación en Fenómenos de Superficie–Michael Polanyi, Facultad de Minas, Universidad Nacional de Colombia Sede-Medellín, Kra 80 No. 65-223, Medellín, Colombia)

  • Vladimir Alvarado

    (Department of Chemical Engineering, University of Wyoming, Laramie, WY 82071, USA)

  • Farid B. Cortés

    (Grupo de Investigación en Fenómenos de Superficie–Michael Polanyi, Facultad de Minas, Universidad Nacional de Colombia Sede-Medellín, Kra 80 No. 65-223, Medellín, Colombia)

Abstract

The present work proposes for the first time a mathematical model for describing the rheological behavior of heavy and extra-heavy crude oils in the presence of nanoparticles. This model results from the combination of two existing mathematical models. The first one applies to the rheology of pseudoplastic substances, i.e., the Herschel-Bulkley model. The second one was previously developed by our research group to model the rheology of suspensions, namely the modified Pal and Rhodes model. The proposed model is applied to heavy and extra heavy crude oils in the presence of nanoparticles, considering the effects of nanoparticles concentration and surface chemical nature, temperature, and crude oil type. All the experimental data evaluated exhibited compelling goodness of fitting, and the physical parameters in the model follow correlate well with variations in viscosity. The new model is dependent of share rate and opens new possibilities for phenomenologically understanding viscosity reduction in heavy crude by adding solid nanoparticles and favoring the scale-up in enhanced oil recovery (EOR) and/or improved oil recovery (IOR) process.

Suggested Citation

  • Esteban A. Taborda & Camilo A. Franco & Vladimir Alvarado & Farid B. Cortés, 2017. "A New Model for Describing the Rheological Behavior of Heavy and Extra Heavy Crude Oils in the Presence of Nanoparticles," Energies, MDPI, vol. 10(12), pages 1-13, December.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2064-:d:121734
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/12/2064/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/10/12/2064/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aliyu, Musa D. & Chen, Hua-Peng, 2017. "Sensitivity analysis of deep geothermal reservoir: Effect of reservoir parameters on production temperature," Energy, Elsevier, vol. 129(C), pages 101-113.
    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. Aliyu, Musa D. & Archer, Rosalind A., 2021. "A thermo-hydro-mechanical model of a hot dry rock geothermal reservoir," Renewable Energy, Elsevier, vol. 176(C), pages 475-493.
    2. Gao, Xuefeng & Zhang, Yanjun & Cheng, Yuxiang & Huang, Yibin & Deng, Hao & Ma, Yongjie, 2022. "A novel strategy utilizing local fracture networks to enhance CBHE heat extraction performance: A case study of the Songyuan geothermal field in China," Energy, Elsevier, vol. 255(C).
    3. Sun, Fengrui & Yao, Yuedong & Li, Guozhen & Li, Xiangfang, 2018. "Geothermal energy extraction in CO2 rich basin using abandoned horizontal wells," Energy, Elsevier, vol. 158(C), pages 760-773.
    4. He, Renhui & Rong, Guan & Tan, Jie & Phoon, Kok-Kwang & Quan, Junsong, 2022. "Numerical evaluation of heat extraction performance in enhanced geothermal system considering rough-walled fractures," Renewable Energy, Elsevier, vol. 188(C), pages 524-544.
    5. Aliyu, Musa D. & Chen, Hua-Peng, 2018. "Enhanced geothermal system modelling with multiple pore media: Thermo-hydraulic coupled processes," Energy, Elsevier, vol. 165(PA), pages 931-948.
    6. Samin, Maleaha Y. & Faramarzi, Asaad & Jefferson, Ian & Harireche, Ouahid, 2019. "A hybrid optimisation approach to improve long-term performance of enhanced geothermal system (EGS) reservoirs," Renewable Energy, Elsevier, vol. 134(C), pages 379-389.
    7. Mahmoodpour, Saeed & Singh, Mrityunjay & Turan, Aysegul & Bär, Kristian & Sass, Ingo, 2022. "Simulations and global sensitivity analysis of the thermo-hydraulic-mechanical processes in a fractured geothermal reservoir," Energy, Elsevier, vol. 247(C).
    8. Jalilinasrabady, Saeid & Tanaka, Toshiaki & Itoi, Ryuichi & Goto, Hiroki, 2021. "Numerical simulation and production prediction assessment of Takigami geothermal reservoir," Energy, Elsevier, vol. 236(C).
    9. Ding, Junfeng & Wang, Shimin, 2018. "2D modeling of well array operating enhanced geothermal system," Energy, Elsevier, vol. 162(C), pages 918-932.
    10. Song, Xianzhi & Shi, Yu & Li, Gensheng & Yang, Ruiyue & Wang, Gaosheng & Zheng, Rui & Li, Jiacheng & Lyu, Zehao, 2018. "Numerical simulation of heat extraction performance in enhanced geothermal system with multilateral wells," Applied Energy, Elsevier, vol. 218(C), pages 325-337.
    11. Chi Yao & Yulong Shao & Jianhua Yang, 2018. "Numerical Investigation on the Influence of Areal Flow on EGS Thermal Exploitation Based on the 3-D T-H Single Fracture Model," Energies, MDPI, vol. 11(11), pages 1-19, November.
    12. Guo, Tiankui & Zhang, Yuelong & He, Jiayuan & Gong, Facheng & Chen, Ming & Liu, Xiaoqiang, 2021. "Research on geothermal development model of abandoned high temperature oil reservoir in North China oilfield," Renewable Energy, Elsevier, vol. 177(C), pages 1-12.
    13. Zhai, Haizhen & Jin, Guangrong & Liu, Lihua & Su, Zheng & Zeng, Yuchao & Liu, Jie & Li, Guangyu & Feng, Chuangji & Wu, Nengyou, 2023. "Parametric study of the geothermal exploitation performance from a HDR reservoir through multilateral horizontal wells: The Qiabuqia geothermal area, Gonghe Basin," Energy, Elsevier, vol. 275(C).
    14. Marcin Kremieniewski & Bartłomiej Jasiński & Grzegorz Zima & Łukasz Kut, 2021. "Reduction of Fractionation of Lightweight Slurry to Geothermal Boreholes," Energies, MDPI, vol. 14(12), pages 1-11, June.
    15. Gudala, Manojkumar & Govindarajan, Suresh Kumar & Yan, Bicheng & Sun, Shuyu, 2022. "Numerical investigations of the PUGA geothermal reservoir with multistage hydraulic fractures and well patterns using fully coupled thermo-hydro-geomechanical modeling," Energy, Elsevier, vol. 253(C).
    16. Agnieszka Operacz & Bogusław Bielec & Barbara Tomaszewska & Michał Kaczmarczyk, 2020. "Physicochemical Composition Variability and Hydraulic Conditions in a Geothermal Borehole—The Latest Study in Podhale Basin, Poland," Energies, MDPI, vol. 13(15), pages 1-18, July.
    17. Liu, Guihong & Wang, Guiling & Zhao, Zhihong & Ma, Feng, 2020. "A new well pattern of cluster-layout for deep geothermal reservoirs: Case study from the Dezhou geothermal field, China," Renewable Energy, Elsevier, vol. 155(C), pages 484-499.
    18. Ma, Yueqiang & Zhang, Yanjun & Hu, Zhongjun & Yu, Ziwang & Zhou, Ling & Huang, Yibin, 2020. "Numerical investigation of heat transfer performance of water flowing through a reservoir with two intersecting fractures," Renewable Energy, Elsevier, vol. 153(C), pages 93-107.
    19. Aliyu, Musa D. & Chen, Hua-Peng, 2017. "Optimum control parameters and long-term productivity of geothermal reservoirs using coupled thermo-hydraulic process modelling," Renewable Energy, Elsevier, vol. 112(C), pages 151-165.
    20. Zhang, Yanjun & Ma, Yueqiang & Hu, Zhongjun & Lei, Honglei & Bai, Lin & Lei, Zhihong & Zhang, Qian, 2019. "An experimental investigation into the characteristics of hydraulic fracturing and fracture permeability after hydraulic fracturing in granite," Renewable Energy, Elsevier, vol. 140(C), pages 615-624.

    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:10:y:2017:i:12:p:2064-:d:121734. 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.