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How Is Ultrasonic-Assisted CO 2 EOR to Unlock Oils from Unconventional Reservoirs?

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  • Hengli Wang

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
    Department of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China)

  • Leng Tian

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
    Department of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China)

  • Kaiqiang Zhang

    (Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK)

  • Zongke Liu

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
    Department of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China)

  • Can Huang

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
    Department of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China)

  • Lili Jiang

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
    Department of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China)

  • Xiaolong Chai

    (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
    Department of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China)

Abstract

CO 2 enhanced oil recovery (EOR) has proven its capability to explore unconventional tight oil reservoirs and the potential for geological carbon storage. Meanwhile, the extremely low permeability pores increase the difficulty of CO 2 EOR and geological storage processing in the actual field. This paper initiates the ultrasonic-assisted approach to facilitate oil–gas miscibility development and finally contributes to excavating more tight oils. Firstly, the physical properties of crude oil with and without ultrasonic treatments were experimentally analyzed through gas chromatography (GC), Fourier-transform infrared spectroscopy (FTIR) and viscometer. Secondly, the oil–gas minimum miscibility pressures (MMPs) were measured from the slim-tube test and the miscibility developments with and without ultrasonic treatments were interpreted from the mixing-cell method. Thirdly, the nuclear-magnetic resonance (NMR) assisted coreflood tests were conducted to physically model the recovery process in porous media and directly obtain the recovery factor. Basically, the ultrasonic treatment (40 KHz and 200 W for 8 h) was found to substantially change the oil properties, with viscosity (at 60 °C) reduced from 4.1 to 2.8 mPa·s, contents of resin and asphaltene decreased from 27.94% and 6.03% to 14.2% and 3.79%, respectively. The FTIR spectrum showed that the unsaturated C-H bond, C-O bond and C≡C bond in macromolecules were broken from the ultrasonic, which caused the macromolecules (e.g., resin and asphaltenes) to be decomposed into smaller carbon-number molecules. Accordingly, the MMP was determined to be reduced from 15.8 to 14.9 MPa from the slim-tube test and the oil recovery factor increased by an additional 11.7%. This study reveals the mechanisms of ultrasonic-assisted CO 2 miscible EOR in producing tight oils.

Suggested Citation

  • Hengli Wang & Leng Tian & Kaiqiang Zhang & Zongke Liu & Can Huang & Lili Jiang & Xiaolong Chai, 2021. "How Is Ultrasonic-Assisted CO 2 EOR to Unlock Oils from Unconventional Reservoirs?," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10010-:d:630571
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    References listed on IDEAS

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    1. Zhao, Yuejun & Fan, Guangjuan & Song, Kaoping & Li, Yilin & Chen, Hao & Sun, He, 2021. "The experimental research for reducing the minimum miscibility pressure of carbon dioxide miscible flooding," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    2. Junrong Liu & Lu Sun & Zunzhao Li & Xingru Wu, 2019. "Experimental Study on Reducing CO 2 –Oil Minimum Miscibility Pressure with Hydrocarbon Agents," Energies, MDPI, vol. 12(10), pages 1-17, May.
    3. Zhang, Kaiqiang & Jia, Na & Liu, Lirong, 2019. "CO2 storage in fractured nanopores underground: Phase behaviour study," Applied Energy, Elsevier, vol. 238(C), pages 911-928.
    4. Ren, Bo & Duncan, Ian J., 2021. "Maximizing oil production from water alternating gas (CO2) injection into residual oil zones: The impact of oil saturation and heterogeneity," Energy, Elsevier, vol. 222(C).
    5. Gunde, Akshay C. & Bera, Bijoyendra & Mitra, Sushanta K., 2010. "Investigation of water and CO2 (carbon dioxide) flooding using micro-CT (micro-computed tomography) images of Berea sandstone core using finite element simulations," Energy, Elsevier, vol. 35(12), pages 5209-5216.
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