Measurement of CO<sub>2</sub> Diffusion Coefficient in Oil-Saturated Porous Media

Xiaokun Mao; Yuechao Zhao; Mingxing Huang; Yongchen Song

doi:doi:10.11648/j.sd.20231103.16

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Measurement of CO₂ Diffusion Coefficient in Oil-Saturated Porous Media

Xiaokun Mao, Yuechao Zhao, Mingxing Huang, Yongchen Song

Published in Science Discovery (Volume 11, Issue 3)

Received: 1 June 2023 Accepted: 24 May 2023 Published: 5 June 2023

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Abstract

The gas-liquid diffusion coefficient is of great significance to accurately evaluate the efficiency of CO₂ displacement (CO₂-EOR) or the long-term geological storage of CO₂. It is necessary to carry out in-depth theoretical and experimental studies on the gas-liquid diffusion mechanism in porous media. Based on low-field nuclear magnetic resonance technology, the diffusion process of CO₂ in n-hexadecane saturated porous media was dynamically monitored. The one-dimensional proton density curve of the liquid phase changing with time and position during the diffusion process was obtained by using pure phase coded SE-SPI pulse sequence. The concentration distribution of CO₂ in the liquid phase could be obtained according to the relationship between the proton density curve and concentration. Based on Fick's law, a mathematical solution model was established, and the non-iterative finite volume method is used to calculate the CO₂ diffusion coefficient that changes with time and position, compared with the pressure attenuation method, the results were in the same order of magnitude and the error was small, which proved the feasibility and accuracy of monitoring gas-liquid diffusion process by low-field nuclear magnetic resonance technology. This provides an in-situ and rapid method for measuring the gas-liquid diffusion coefficient, which is of great significance for the design and economic evaluation of CO₂-EOR engineering.

Published in	Science Discovery (Volume 11, Issue 3)
DOI	10.11648/j.sd.20231103.16
Page(s)	115-120
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Low Field Nuclear Magnetic Resonance, Diffusion Coefficient, Porous Media

References

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[4]	Mohammad-Hossein Doranehgard, Tran Son, Dehghanpour Hassan. Modeling of natural-gas diffusion in oil-saturated tight porous media [J]. Fuel, 2021, 300120999.
[5]	H-J Liu, Were Patrick, Li Qi, et al. Worldwide status of CCUS technologies and their development and challenges in China [J]. Geofluids, 2017, 2017.
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[7]	Mai Bui, Adjiman Claire-S, Bardow André, et al. Carbon capture and storage (CCS): the way forward [J]. Energy & Environmental Science, 2018, 11 (5): 1062-1176.
[8]	Zhaowen Li, Dong Mingzhe. Experimental study of carbon dioxide diffusion in oil-saturated porous media under reservoir conditions [J]. Industrial & engineering chemistry research, 2009, 48 (20): 9307-9317.
[9]	H-H Reamer, Opfell J-B, Sage B-H. Diffusion coefficients in hydrocarbon systems methane-decane-methane in liquid phase-methane-decane-methane in liquid phase [J]. Industrial & Engineering Chemistry, 1956, 48 (2): 275-282.
[10]	Mohammad-R Riazi. A new method for experimental measurement of diffusion coefficients in reservoir fluids [J]. Journal of Petroleum Science and Engineering, 1996, 14 (3-4): 235-250.
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[12]	Junjie Qiu, Bao Bo, Zhao Shuangliang, et al. Microfluidics-based determination of diffusion coefficient for gas-liquid reaction system with hydrogen peroxide [J]. Chemical Engineering Science, 2021, 231116248.
[13]	Yu Liu, Teng Ying, Lu Guohuan, et al. Experimental study on CO₂ diffusion in bulk n-decane and n-decane saturated porous media using micro-CT [J]. Fluid Phase Equilibria, 2016, 417212-219.
[14]	Yongchen Song, Hao Min, Zhao Yuechao, et al. Measurement of gas diffusion coefficient in liquid-saturated porous media using magnetic resonance imaging [J]. Russian Journal of Physical Chemistry A, 2014, 882265-2270.
[15]	Yongchen Song, Hao Min, Liu Yu, et al. CO₂ diffusion in n-hexadecane investigated using magnetic resonance imaging and pressure decay measurements [J]. RSC advances, 2014, 4 (91): 50180-50187.
[16]	Hongxia Gao, Zhang Biao, Fan Lili, et al. Study on Diffusivity of CO₂ in Oil-Saturated Porous Media under High Pressure and Temperature [J]. Energy & Fuels, 2019, 33 (11): 11364-11372.

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APA Style

Xiaokun Mao, Yuechao Zhao, Mingxing Huang, Yongchen Song. (2023). Measurement of CO2 Diffusion Coefficient in Oil-Saturated Porous Media. Science Discovery, 11(3), 115-120. https://doi.org/10.11648/j.sd.20231103.16

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ACS Style

Xiaokun Mao; Yuechao Zhao; Mingxing Huang; Yongchen Song. Measurement of CO2 Diffusion Coefficient in Oil-Saturated Porous Media. Sci. Discov. 2023, 11(3), 115-120. doi: 10.11648/j.sd.20231103.16

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AMA Style

Xiaokun Mao, Yuechao Zhao, Mingxing Huang, Yongchen Song. Measurement of CO2 Diffusion Coefficient in Oil-Saturated Porous Media. Sci Discov. 2023;11(3):115-120. doi: 10.11648/j.sd.20231103.16

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@article{10.11648/j.sd.20231103.16,
  author = {Xiaokun Mao and Yuechao Zhao and Mingxing Huang and Yongchen Song},
  title = {Measurement of CO2 Diffusion Coefficient in Oil-Saturated Porous Media},
  journal = {Science Discovery},
  volume = {11},
  number = {3},
  pages = {115-120},
  doi = {10.11648/j.sd.20231103.16},
  url = {https://doi.org/10.11648/j.sd.20231103.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20231103.16},
  abstract = {The gas-liquid diffusion coefficient is of great significance to accurately evaluate the efficiency of CO2 displacement (CO2-EOR) or the long-term geological storage of CO2. It is necessary to carry out in-depth theoretical and experimental studies on the gas-liquid diffusion mechanism in porous media. Based on low-field nuclear magnetic resonance technology, the diffusion process of CO2 in n-hexadecane saturated porous media was dynamically monitored. The one-dimensional proton density curve of the liquid phase changing with time and position during the diffusion process was obtained by using pure phase coded SE-SPI pulse sequence. The concentration distribution of CO2 in the liquid phase could be obtained according to the relationship between the proton density curve and concentration. Based on Fick's law, a mathematical solution model was established, and the non-iterative finite volume method is used to calculate the CO2 diffusion coefficient that changes with time and position, compared with the pressure attenuation method, the results were in the same order of magnitude and the error was small, which proved the feasibility and accuracy of monitoring gas-liquid diffusion process by low-field nuclear magnetic resonance technology. This provides an in-situ and rapid method for measuring the gas-liquid diffusion coefficient, which is of great significance for the design and economic evaluation of CO2-EOR engineering.},
 year = {2023}
}

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TY  - JOUR
T1  - Measurement of CO2 Diffusion Coefficient in Oil-Saturated Porous Media
AU  - Xiaokun Mao
AU  - Yuechao Zhao
AU  - Mingxing Huang
AU  - Yongchen Song
Y1  - 2023/06/05
PY  - 2023
N1  - https://doi.org/10.11648/j.sd.20231103.16
DO  - 10.11648/j.sd.20231103.16
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 115
EP  - 120
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20231103.16
AB  - The gas-liquid diffusion coefficient is of great significance to accurately evaluate the efficiency of CO2 displacement (CO2-EOR) or the long-term geological storage of CO2. It is necessary to carry out in-depth theoretical and experimental studies on the gas-liquid diffusion mechanism in porous media. Based on low-field nuclear magnetic resonance technology, the diffusion process of CO2 in n-hexadecane saturated porous media was dynamically monitored. The one-dimensional proton density curve of the liquid phase changing with time and position during the diffusion process was obtained by using pure phase coded SE-SPI pulse sequence. The concentration distribution of CO2 in the liquid phase could be obtained according to the relationship between the proton density curve and concentration. Based on Fick's law, a mathematical solution model was established, and the non-iterative finite volume method is used to calculate the CO2 diffusion coefficient that changes with time and position, compared with the pressure attenuation method, the results were in the same order of magnitude and the error was small, which proved the feasibility and accuracy of monitoring gas-liquid diffusion process by low-field nuclear magnetic resonance technology. This provides an in-situ and rapid method for measuring the gas-liquid diffusion coefficient, which is of great significance for the design and economic evaluation of CO2-EOR engineering.
VL  - 11
IS  - 3
ER  -

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Author Information

Xiaokun Mao

Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, School of Energy and Power Engineering, Dalian University of Technology, Dalian, China
Yuechao Zhao

Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, School of Energy and Power Engineering, Dalian University of Technology, Dalian, China
Mingxing Huang

Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, School of Energy and Power Engineering, Dalian University of Technology, Dalian, China
Yongchen Song

Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, School of Energy and Power Engineering, Dalian University of Technology, Dalian, China

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Plain Text BibTeX RIS

APA Style

Xiaokun Mao, Yuechao Zhao, Mingxing Huang, Yongchen Song. (2023). Measurement of CO2 Diffusion Coefficient in Oil-Saturated Porous Media. Science Discovery, 11(3), 115-120. https://doi.org/10.11648/j.sd.20231103.16

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ACS Style

Xiaokun Mao; Yuechao Zhao; Mingxing Huang; Yongchen Song. Measurement of CO2 Diffusion Coefficient in Oil-Saturated Porous Media. Sci. Discov. 2023, 11(3), 115-120. doi: 10.11648/j.sd.20231103.16

Copy | Download

AMA Style

Xiaokun Mao, Yuechao Zhao, Mingxing Huang, Yongchen Song. Measurement of CO2 Diffusion Coefficient in Oil-Saturated Porous Media. Sci Discov. 2023;11(3):115-120. doi: 10.11648/j.sd.20231103.16

Copy | Download

@article{10.11648/j.sd.20231103.16,
  author = {Xiaokun Mao and Yuechao Zhao and Mingxing Huang and Yongchen Song},
  title = {Measurement of CO2 Diffusion Coefficient in Oil-Saturated Porous Media},
  journal = {Science Discovery},
  volume = {11},
  number = {3},
  pages = {115-120},
  doi = {10.11648/j.sd.20231103.16},
  url = {https://doi.org/10.11648/j.sd.20231103.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20231103.16},
  abstract = {The gas-liquid diffusion coefficient is of great significance to accurately evaluate the efficiency of CO2 displacement (CO2-EOR) or the long-term geological storage of CO2. It is necessary to carry out in-depth theoretical and experimental studies on the gas-liquid diffusion mechanism in porous media. Based on low-field nuclear magnetic resonance technology, the diffusion process of CO2 in n-hexadecane saturated porous media was dynamically monitored. The one-dimensional proton density curve of the liquid phase changing with time and position during the diffusion process was obtained by using pure phase coded SE-SPI pulse sequence. The concentration distribution of CO2 in the liquid phase could be obtained according to the relationship between the proton density curve and concentration. Based on Fick's law, a mathematical solution model was established, and the non-iterative finite volume method is used to calculate the CO2 diffusion coefficient that changes with time and position, compared with the pressure attenuation method, the results were in the same order of magnitude and the error was small, which proved the feasibility and accuracy of monitoring gas-liquid diffusion process by low-field nuclear magnetic resonance technology. This provides an in-situ and rapid method for measuring the gas-liquid diffusion coefficient, which is of great significance for the design and economic evaluation of CO2-EOR engineering.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Measurement of CO2 Diffusion Coefficient in Oil-Saturated Porous Media
AU  - Xiaokun Mao
AU  - Yuechao Zhao
AU  - Mingxing Huang
AU  - Yongchen Song
Y1  - 2023/06/05
PY  - 2023
N1  - https://doi.org/10.11648/j.sd.20231103.16
DO  - 10.11648/j.sd.20231103.16
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 115
EP  - 120
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20231103.16
AB  - The gas-liquid diffusion coefficient is of great significance to accurately evaluate the efficiency of CO2 displacement (CO2-EOR) or the long-term geological storage of CO2. It is necessary to carry out in-depth theoretical and experimental studies on the gas-liquid diffusion mechanism in porous media. Based on low-field nuclear magnetic resonance technology, the diffusion process of CO2 in n-hexadecane saturated porous media was dynamically monitored. The one-dimensional proton density curve of the liquid phase changing with time and position during the diffusion process was obtained by using pure phase coded SE-SPI pulse sequence. The concentration distribution of CO2 in the liquid phase could be obtained according to the relationship between the proton density curve and concentration. Based on Fick's law, a mathematical solution model was established, and the non-iterative finite volume method is used to calculate the CO2 diffusion coefficient that changes with time and position, compared with the pressure attenuation method, the results were in the same order of magnitude and the error was small, which proved the feasibility and accuracy of monitoring gas-liquid diffusion process by low-field nuclear magnetic resonance technology. This provides an in-situ and rapid method for measuring the gas-liquid diffusion coefficient, which is of great significance for the design and economic evaluation of CO2-EOR engineering.
VL  - 11
IS  - 3
ER  -

Copy | Download