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A Laboratory Approach to Measure Enhanced Gas Recovery from a Tight Gas Reservoir during Supercritical Carbon Dioxide Injection

Author

Listed:
  • Rahmad Syah

    (Data Science & Computational Intelligence Research Group, Universitas Medan Area, Medan 20112, Indonesia)

  • Seyed Mehdi Alizadeh

    (Petroleum Engineering Department, Australian College of Kuwait, West Mishref 13015, Kuwait)

  • Karina Shamilyevna Nurgalieva

    (Department of Development and Operation of Oil and Gas Fields, Saint-Petersburg Mining University, 199106 St. Petersburg, Russia)

  • John William Grimaldo Guerrero

    (Department of Energy, Universidad de la Costa, Barranquilla 080001, Colombia)

  • Mahyuddin K. M. Nasution

    (Data Science & Computational Intelligence Research Group, Universitas Sumatera Utara, Medan 20222, Indonesia)

  • Afshin Davarpanah

    (Chemistry of Interfaces, Luleå University of Technology, SE-97187 Luleå, Sweden)

  • Dadan Ramdan

    (Data Science & Computational Intelligence Research Group, Universitas Medan Area, Medan 20112, Indonesia)

  • Ahmed Sayed M. Metwally

    (Department of Mathematics, College of Science, King Saud University, Riyadh 11451, Saudi Arabia)

Abstract

Supercritical carbon dioxide injection in tight reservoirs is an efficient and prominent enhanced gas recovery method, as it can be more mobilized in low-permeable reservoirs due to its molecular size. This paper aimed to perform a set of laboratory experiments to evaluate the impacts of permeability and water saturation on enhanced gas recovery, carbon dioxide storage capacity, and carbon dioxide content during supercritical carbon dioxide injection. It is observed that supercritical carbon dioxide provides a higher gas recovery increase after the gas depletion drive mechanism is carried out in low permeable core samples. This corresponds to the feasible mobilization of the supercritical carbon dioxide phase through smaller pores. The maximum gas recovery increase for core samples with 0.1 mD is about 22.5%, while gas recovery increase has lower values with the increase in permeability. It is about 19.8%, 15.3%, 12.1%, and 10.9% for core samples with 0.22, 0.36, 0.54, and 0.78 mD permeability, respectively. Moreover, higher water saturations would be a crucial factor in the gas recovery enhancement, especially in the final pore volume injection, as it can increase the supercritical carbon dioxide dissolving in water, leading to more displacement efficiency. The minimum carbon dioxide storage for 0.1 mD core samples is about 50%, while it is about 38% for tight core samples with the permeability of 0.78 mD. By decreasing water saturation from 0.65 to 0.15, less volume of supercritical carbon dioxide is involved in water, and therefore, carbon dioxide storage capacity increases. This is indicative of a proper gas displacement front in lower water saturation and higher gas recovery factor. The findings of this study can help for a better understanding of the gas production mechanism and crucial parameters that affect gas recovery from tight reservoirs.

Suggested Citation

  • Rahmad Syah & Seyed Mehdi Alizadeh & Karina Shamilyevna Nurgalieva & John William Grimaldo Guerrero & Mahyuddin K. M. Nasution & Afshin Davarpanah & Dadan Ramdan & Ahmed Sayed M. Metwally, 2021. "A Laboratory Approach to Measure Enhanced Gas Recovery from a Tight Gas Reservoir during Supercritical Carbon Dioxide Injection," Sustainability, MDPI, vol. 13(21), pages 1-14, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:11606-:d:661064
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    References listed on IDEAS

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    1. Zuloaga, Pavel & Yu, Wei & Miao, Jijun & Sepehrnoori, Kamy, 2017. "Performance evaluation of CO2 Huff-n-Puff and continuous CO2 injection in tight oil reservoirs," Energy, Elsevier, vol. 134(C), pages 181-192.
    2. Kim, Tae Hong & Cho, Jinhyung & Lee, Kun Sang, 2017. "Evaluation of CO2 injection in shale gas reservoirs with multi-component transport and geomechanical effects," Applied Energy, Elsevier, vol. 190(C), pages 1195-1206.
    3. Hamid Esfandyari & Abdorrahman Moghani & Feridun Esmaeilzadeh & Afshin Davarpanah, 2021. "A Laboratory Approach to Measure Carbonate Rocks’ Adsorption Density by Surfactant and Polymer," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-7, February.
    4. Basirat Esan & Abubakar Hassan, 2020. "Nexus between Carbon Dioxide Emission, Energy Consumption and Economic Growth in Nigeria," International Journal of Sustainable Energy and Environmental Research, Conscientia Beam, vol. 9(1), pages 46-55.
    5. Basirat Esan & Abubakar Hassan, 2020. "Nexus between Carbon Dioxide Emission, Energy Consumption and Economic Growth in Nigeria," International Journal of Sustainable Energy and Environmental Research, Conscientia Beam, vol. 9(1), pages 46-55.
    6. Ezekiel, Justin & Ebigbo, Anozie & Adams, Benjamin M. & Saar, Martin O., 2020. "Combining natural gas recovery and CO2-based geothermal energy extraction for electric power generation," Applied Energy, Elsevier, vol. 269(C).
    7. Huang, Jingwei & Jin, Tianying & Barrufet, Maria & Killough, John, 2020. "Evaluation of CO2 injection into shale gas reservoirs considering dispersed distribution of kerogen," Applied Energy, Elsevier, vol. 260(C).
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