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Non-Newtonian Flow Characteristics of Heavy Oil in the Bohai Bay Oilfield: Experimental and Simulation Studies

Author

Listed:
  • Xiankang Xin

    (College of Petroleum Engineering, China University of Petroleum, Beijing 102249, China)

  • Yiqiang Li

    (College of Petroleum Engineering, China University of Petroleum, Beijing 102249, China)

  • Gaoming Yu

    (College of Petroleum Engineering, Yangtze University, Wuhan 430100, China)

  • Weiying Wang

    (College of Petroleum Engineering, Yangtze University, Wuhan 430100, China)

  • Zhongzhi Zhang

    (College of Chemical Engineering, China University of Petroleum, Beijing 102249, China)

  • Maolin Zhang

    (College of Petroleum Engineering, Yangtze University, Wuhan 430100, China)

  • Wenli Ke

    (College of Petroleum Engineering, Yangtze University, Wuhan 430100, China)

  • Debin Kong

    (College of Petroleum Engineering, China University of Petroleum, Beijing 102249, China)

  • Keliu Wu

    (Department of Chemical and Petroleum Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada)

  • Zhangxin Chen

    (Department of Chemical and Petroleum Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada)

Abstract

In this paper, physical experiments and numerical simulations were applied to systematically investigate the non-Newtonian flow characteristics of heavy oil in porous media. Rheological experiments were carried out to determine the rheology of heavy oil. Threshold pressure gradient (TPG) measurement experiments performed by a new micro-flow method and flow experiments were conducted to study the effect of viscosity, permeability and mobility on the flow characteristics of heavy oil. An in-house developed novel simulator considering the non-Newtonian flow was designed based on the experimental investigations. The results from the physical experiments indicated that heavy oil was a Bingham fluid with non-Newtonian flow characteristics, and its viscosity-temperature relationship conformed to the Arrhenius equation. Its viscosity decreased with an increase in temperature and a decrease in asphaltene content. The TPG measurement experiments was impacted by the flow rate, and its critical flow rate was 0.003 mL/min. The TPG decreased as the viscosity decreased or the permeability increased and had a power-law relationship with mobility. In addition, the critical viscosity had a range of 42–54 mPa∙s, above which the TPG existed for a given permeability. The validation of the designed simulator was positive and acceptable when compared to the simulation results run in ECLIPSE V2013.1 and Computer Modelling Group (CMG) V2012 software as well as when compared to the results obtained during physical experiments. The difference between 0.0005 and 0.0750 MPa/m in the TPG showed a decrease of 11.55% in the oil recovery based on the simulation results, which demonstrated the largely adverse impact the TPG had on heavy oil production.

Suggested Citation

  • Xiankang Xin & Yiqiang Li & Gaoming Yu & Weiying Wang & Zhongzhi Zhang & Maolin Zhang & Wenli Ke & Debin Kong & Keliu Wu & Zhangxin Chen, 2017. "Non-Newtonian Flow Characteristics of Heavy Oil in the Bohai Bay Oilfield: Experimental and Simulation Studies," Energies, MDPI, vol. 10(11), pages 1-25, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1698-:d:116423
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    References listed on IDEAS

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    1. Teng Lu & Zhaomin Li & Yan Zhou, 2017. "Flow Behavior and Displacement Mechanisms of Nanoparticle Stabilized Foam Flooding for Enhanced Heavy Oil Recovery," Energies, MDPI, vol. 10(4), pages 1-21, April.
    2. Vladimir Alvarado & Eduardo Manrique, 2010. "Enhanced Oil Recovery: An Update Review," Energies, MDPI, vol. 3(9), pages 1-47, August.
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    Cited by:

    1. Aidar Kadyirov & Julia Karaeva, 2019. "Ultrasonic and Heat Treatment of Crude Oils," Energies, MDPI, vol. 12(16), pages 1-11, August.
    2. Olalekan Alade & Dhafer Al Shehri & Mohamed Mahmoud & Kyuro Sasaki, 2019. "Viscosity–Temperature–Pressure Relationship of Extra-Heavy Oil (Bitumen): Empirical Modelling versus Artificial Neural Network (ANN)," Energies, MDPI, vol. 12(12), pages 1-13, June.
    3. Weihua Sun & Zhiyi Yu & Wenwu Zhang, 2022. "Effect of Shear-Thinning Property on the Energy Performance and Flow Field of an Axial Flow Pump," Energies, MDPI, vol. 15(7), pages 1-15, March.

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