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Experimental study on the CO2-decane displacement front behavior in high permeability sand evaluated by magnetic resonance imaging

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  • Wang, Sijia
  • Jiang, Lanlan
  • Cheng, Zucheng
  • Liu, Yu
  • Zhao, Jiafei
  • Song, Yongchen

Abstract

CO2 flooding has been proven to be an effective method to improve oil recovery, and the interface characteristics of the displacement front directly affect the oil recovery and CO2 utilization efficiency in reservoirs. In this study, we aimed to investigate the in situ interfacial behavior during CO2 flooding using high-resolution magnetic resonance imaging (MRI). A series of CO2 flooding tests were carried out using upward and downward injection methods consisting of different rates (28, 56 and 112 pore volume (PV)/day) in porous media. The unstable CO2 front is indicated to significantly impact the gas sweep efficiency, which is not favorable for oil recovery and leads to low energy utilization efficiency. For downward injection, subordinate displacement of CO2 was observed after breakthrough, which can improve oil recovery. The optimum oil recovery and CO2 utilization factor were obtained under upward injection at a low rate in the immiscible state, which was controlled by the stable interface behavior. From the perspective of CO2 storage, miscible flooding improved the storage volume by more than 25% compared to immiscible flooding. For high permeability oil reservoirs, the oil recovery and gas sequestration can be synthetically optimized by adjusting the injection rates and phase state.

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  • Wang, Sijia & Jiang, Lanlan & Cheng, Zucheng & Liu, Yu & Zhao, Jiafei & Song, Yongchen, 2021. "Experimental study on the CO2-decane displacement front behavior in high permeability sand evaluated by magnetic resonance imaging," Energy, Elsevier, vol. 217(C).
    • Handle: RePEc:eee:energy:v:217:y:2021:i:c:s0360544220325408
    DOI: 10.1016/j.energy.2020.119433
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    1. Li, H. & Yan, J., 2009. "Impacts of equations of state (EOS) and impurities on the volume calculation of CO2 mixtures in the applications of CO2 capture and storage (CCS) processes," Applied Energy, Elsevier, vol. 86(12), pages 2760-2770, December.
    2. Pengfei Lv & Yu Liu & Lanlan Jiang & Yongchen Song & Bohao Wu & Jiafei Zhao & Yi Zhang, 2016. "Experimental determination of wettability and heterogeneity effect on CO 2 distribution in porous media," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 6(3), pages 401-415, June.
    3. Chen, Bingbing & Sun, Huiru & Zhou, Hang & Yang, Mingjun & Wang, Dayong, 2019. "Effects of pressure and sea water flow on natural gas hydrate production characteristics in marine sediment," Applied Energy, Elsevier, vol. 238(C), pages 274-283.
    4. Yu, Haiyang & Rui, Zhenhua & Chen, Zhewei & Lu, Xin & Yang, Zhonglin & Liu, Junhui & Qu, Xuefeng & Patil, Shirish & Ling, Kegang & Lu, Jun, 2019. "Feasibility study of improved unconventional reservoir performance with carbonated water and surfactant," Energy, Elsevier, vol. 182(C), pages 135-147.
    5. Kim, Youngmin & Jang, Hochang & Kim, Junggyun & Lee, Jeonghwan, 2017. "Prediction of storage efficiency on CO2 sequestration in deep saline aquifers using artificial neural network," Applied Energy, Elsevier, vol. 185(P1), pages 916-928.
    6. Zhao, Yuechao & Zhang, Yuying & Lei, Xu & Zhang, Yi & Song, Yongchen, 2020. "CO2 flooding enhanced oil recovery evaluated using magnetic resonance imaging technique," Energy, Elsevier, vol. 203(C).
    7. Ampomah, W. & Balch, R.S. & Cather, M. & Will, R. & Gunda, D. & Dai, Z. & Soltanian, M.R., 2017. "Optimum design of CO2 storage and oil recovery under geological uncertainty," Applied Energy, Elsevier, vol. 195(C), pages 80-92.
    8. Dong, Xiaohu & Liu, Huiqing & Chen, Zhangxin & Wu, Keliu & Lu, Ning & Zhang, Qichen, 2019. "Enhanced oil recovery techniques for heavy oil and oilsands reservoirs after steam injection," Applied Energy, Elsevier, vol. 239(C), pages 1190-1211.
    9. Jiang, Jieyun & Rui, Zhenhua & Hazlett, Randy & Lu, Jun, 2019. "An integrated technical-economic model for evaluating CO2 enhanced oil recovery development," Applied Energy, Elsevier, vol. 247(C), pages 190-211.
    10. Zhang, Shuai & Liu, Linlin & Zhang, Lei & Zhuang, Yu & Du, Jian, 2018. "An optimization model for carbon capture utilization and storage supply chain: A case study in Northeastern China," Applied Energy, Elsevier, vol. 231(C), pages 194-206.
    11. Lu, Yiyu & Chen, Xiayu & Tang, Jiren & Li, Honglian & Zhou, Lei & Han, Shuaibin & Ge, Zhaolong & Xia, Binwei & Shen, Huajian & Zhang, Jing, 2019. "Relationship between pore structure and mechanical properties of shale on supercritical carbon dioxide saturation," Energy, Elsevier, vol. 172(C), pages 270-285.
    12. Han, Jinju & Lee, Minkyu & Lee, Wonsuk & Lee, Youngsoo & Sung, Wonmo, 2016. "Effect of gravity segregation on CO2 sequestration and oil production during CO2 flooding," Applied Energy, Elsevier, vol. 161(C), pages 85-91.
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    1. Wang, Sijia & Li, Shaohua & Liu, Donglei & Shi, Menglan & Tong, Baocai & Cheng, Chengzu & Jiang, Lanlan & Song, Yongchen, 2023. "Study of the impact of various porous media on pore space utilization and CO2 storage by injection of microbubbles into oil reservoirs," Applied Energy, Elsevier, vol. 339(C).

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