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Molecular Dynamics Simulation of CO 2 Storage in Reservoir Pores with a Dead-End

Author

Listed:
  • Zeming Ji

    (Research Institute of Petroleum Exploration & Development, Beijing 100083, China)

  • Chang He

    (Research Institute of Petroleum Exploration & Development, Beijing 100083, China)

  • Yingying Sun

    (Research Institute of Petroleum Exploration & Development, Beijing 100083, China)

  • Xiaokun Yue

    (School of Materials Science and Engineering, China University of Petroleum, Qingdao 266580, China)

  • Hongxu Fang

    (School of Materials Science and Engineering, China University of Petroleum, Qingdao 266580, China)

  • Xiaoqing Lu

    (School of Materials Science and Engineering, China University of Petroleum, Qingdao 266580, China)

  • Siyuan Liu

    (School of Materials Science and Engineering, China University of Petroleum, Qingdao 266580, China)

  • Weifeng Lyu

    (Research Institute of Petroleum Exploration & Development, Beijing 100083, China)

Abstract

The carbon capture, utilization and storage (CCUS) technique is widely applied in order to solve energy shortages and global warming, in which CO 2 storage plays an important part. Herein, the CO 2 storage in reservoir pores with a dead-end is investigated using a molecular dynamics simulation. The results indicate that, when a CO 2 molecule flows through a reservoir pore towards its dead-end, it is readily captured inside said dead-end. When the pressure difference of the CO 2 injection increases, the transport speed of the CO 2 becomes faster, and the storage efficiency increases. The rate constants for the absorption of the carbon dioxide at 5 MPa, 10 MPa, and 15 MPa are 0.47 m/s, 2.1 m/s, and 3.1 m/s. With the same main channel, a narrower dead-end with less oil molecules would cause a smaller spatial potential resistance, which would lead to a faster CO 2 replacement and storage process. The 3 nm main channel with a 1.5 nm dead-end model had the highest absorption rate of 5.3 m/s out of the three sets of models with different dead-ends. When the dead-end’s width was constant, the rate constants for the absorption of carbon dioxide in the 6 nm main channel with a 1.5 nm dead-end model was 1.8 m/s, which was higher than that of the 3 nm–1.5 nm model. This study investigates the mechanism of CO 2 storage in reservoir pores with a dead-end at the molecular level and provides a scientific basis for the practical application of CO 2 storage.

Suggested Citation

  • Zeming Ji & Chang He & Yingying Sun & Xiaokun Yue & Hongxu Fang & Xiaoqing Lu & Siyuan Liu & Weifeng Lyu, 2023. "Molecular Dynamics Simulation of CO 2 Storage in Reservoir Pores with a Dead-End," Energies, MDPI, vol. 16(21), pages 1-18, October.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:21:p:7341-:d:1270510
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    References listed on IDEAS

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    1. Javier Argüello-Luengo & Alejandro González-Tudela & Tao Shi & Peter Zoller & J. Ignacio Cirac, 2019. "Analogue quantum chemistry simulation," Nature, Nature, vol. 574(7777), pages 215-218, October.
    2. Wang, Xiao & van ’t Veld, Klaas & Marcy, Peter & Huzurbazar, Snehalata & Alvarado, Vladimir, 2018. "Economic co-optimization of oil recovery and CO2 sequestration," Applied Energy, Elsevier, vol. 222(C), pages 132-147.
    3. Singh, Mrityunjay & Mahmoodpour, Saeed & Ershadnia, Reza & Soltanian, Mohamad Reza & Sass, Ingo, 2023. "Comparative study on heat extraction from Soultz-sous-Forêts geothermal field using supercritical carbon dioxide and water as the working fluid," Energy, Elsevier, vol. 266(C).
    4. Ajoma, Emmanuel & Saira, & Sungkachart, Thanarat & Ge, Jiachao & Le-Hussain, Furqan, 2020. "Water-saturated CO2 injection to improve oil recovery and CO2 storage," Applied Energy, Elsevier, vol. 266(C).
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