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Simulation Study of CO 2 Huff-n-Puff in Tight Oil Reservoirs Considering Molecular Diffusion and Adsorption

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  • Yuan Zhang

    (School of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, China
    Beijing Key Laboratory of Unconventional Natural Gas Geology Evaluation and Development Engineering, China University of Geosciences (Beijing), Beijing 100083, China)

  • Jinghong Hu

    (School of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, China
    Beijing Key Laboratory of Unconventional Natural Gas Geology Evaluation and Development Engineering, China University of Geosciences (Beijing), Beijing 100083, China)

  • Qi Zhang

    (School of Information Technology and Management, University of International Business and Economics, Beijing 100029, China)

Abstract

CO 2 injection has great potentials to improve the oil production for the fractured tight oil reservoirs. However, Current works mainly focus on its operation processes; full examination of CO 2 molecular diffusion and adsorption was still limited in the petroleum industry. To fill this gap, we proposed an efficient method to accurately and comprehensively evaluate the efficiency of CO 2 -EOR process. We first calculated the confined fluid properties with the nanopore effects. Subsequently, a reservoir simulation model was built based on the experiment test of the Eagle Ford core sample. History matching was performed for the model validation. After that, we examined the effects of adsorption and molecular diffusion on the multi-well production with CO 2 injection. Results illustrate that in the CO 2 -EOR process, the molecular diffusion has a positive impact on the oil production, while adsorption negatively impacts the well production, indicating that the mechanisms should be reasonably incorporated in the simulation analysis. Additionally, simulation results show that the mechanisms of molecular diffusion and adsorption make great contributions to the capacity of CO 2 storage in tight formations. This study provides a strong basis to reasonably forecast the long-term production during CO 2 Huff-n-Puff process.

Suggested Citation

  • Yuan Zhang & Jinghong Hu & Qi Zhang, 2019. "Simulation Study of CO 2 Huff-n-Puff in Tight Oil Reservoirs Considering Molecular Diffusion and Adsorption," Energies, MDPI, vol. 12(11), pages 1-15, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:11:p:2136-:d:237041
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    References listed on IDEAS

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    1. Kai Liao & Shicheng Zhang & Xinfang Ma & Yushi Zou, 2019. "Numerical Investigation of Fracture Compressibility and Uncertainty on Water-Loss and Production Performance in Tight Oil Reservoirs," Energies, MDPI, vol. 12(7), pages 1-20, March.
    2. 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.
    3. 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.
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    Cited by:

    1. 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.
    2. Minxing Si & Ling Bai & Ke Du, 2021. "Discovering Energy Consumption Patterns with Unsupervised Machine Learning for Canadian In Situ Oil Sands Operations," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    3. Khaled Enab & Hamid Emami-Meybodi, 2021. "Effects of Diffusion, Adsorption, and Hysteresis on Huff-n-Puff Performance in Ultratight Reservoirs with Different Fluid Types and Injection Gases," Energies, MDPI, vol. 14(21), pages 1-17, November.
    4. Kang Ma & Hanqiao Jiang & Junjian Li & Rongda Zhang & Kangqi Shen & Yu Zhou, 2020. "A Novel Assisted Gas–Oil Countercurrent EOR Technique for Attic Oil in Fault-Block Reservoirs," Energies, MDPI, vol. 13(2), pages 1-15, January.

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