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Characterizing pore-level oil mobilization processes in unconventional reservoirs assisted by state-of-the-art nuclear magnetic resonance technique

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  • Zhang, Xiang
  • Wei, Bing
  • You, Junyu
  • Liu, Jiang
  • Wang, Dianlin
  • Lu, Jun
  • Tong, Jing

Abstract

Rigorous characterizations of fluid contents, rock/fluid interactions, and pore-size distributions are crucial in the development of unconventional resources. As a nonintrusive and real-time tool, Nuclear Magnetic Resonance (NMR) draws increasingly attention for these applications. Herein, we first summarized the most intensively used NMR methods, T2 (1D), T1-T2 and D-T2 (2D) maps, and then performed a critical analyses of pore-scale oil mobilization characterization assisted by NMR, aiming to advance the understanding of unconventional reservoir exploitation. Numerous efforts have been made on presenting the oil mobilization process by 1D NMR. There, however, exists some controversial and even contradictory for similar research objects. Quantifying the interactions in place between gas and oil still needs further investigation. The 2D NMR technique is much more informative compared to the 1D NMR, whereas only limited qualitative analysis can be conducted and the accuracy of the measurement needs to be enhanced for clay mineral-rich reservoirs. Water and oil signals can be easily distinguished in 2D NMR maps with the increase of NMR frequency, which greatly help to identify the fluids in nano-size pores. Currently, all the NMR measurements are limited to the short core plug (length≤10 cm); thus, future attention should be given to the development of NMR hardware.

Suggested Citation

  • Zhang, Xiang & Wei, Bing & You, Junyu & Liu, Jiang & Wang, Dianlin & Lu, Jun & Tong, Jing, 2021. "Characterizing pore-level oil mobilization processes in unconventional reservoirs assisted by state-of-the-art nuclear magnetic resonance technique," Energy, Elsevier, vol. 236(C).
    • Handle: RePEc:eee:energy:v:236:y:2021:i:c:s0360544221017977
    DOI: 10.1016/j.energy.2021.121549
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    Cited by:

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    3. Wang, Ziwei & Qin, Yong & Shen, Jian & Li, Teng & Zhang, Xiaoyang & Cai, Ying, 2022. "A novel permeability prediction model for coal based on dynamic transformation of pores in multiple scales," Energy, Elsevier, vol. 257(C).
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    5. 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).
    6. Shi, Qingmin & Cui, Shidong & Wang, Shuangming & Mi, Yichen & Sun, Qiang & Wang, Shengquan & Shi, Chenyu & Yu, Jizhou, 2022. "Experiment study on CO2 adsorption performance of thermal treated coal: Inspiration for CO2 storage after underground coal thermal treatment," Energy, Elsevier, vol. 254(PA).
    7. Wei, Jianguang & Fu, Lanqing & Zhao, Guozhong & Zhao, Xiaoqing & Liu, Xinrong & Wang, Anlun & Wang, Yan & Cao, Sheng & Jin, Yuhan & Yang, Fengrui & Liu, Tianyang & Yang, Ying, 2023. "Nuclear magnetic resonance study on imbibition and stress sensitivity of lamellar shale oil reservoir," Energy, Elsevier, vol. 282(C).

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