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A Numerical Analysis of the Effects of Supercritical CO 2 Injection on CO 2 Storage Capacities of Geological Formations

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  • Kamal Jawher Khudaida

    (Department of Chemical Engineering, Loughborough University, Loughborough LE11 3TU, UK)

  • Diganta Bhusan Das

    (Department of Chemical Engineering, Loughborough University, Loughborough LE11 3TU, UK)

Abstract

One of the most promising means of reducing carbon content in the atmosphere, which is aimed at tackling the threats of global warming, is injecting carbon dioxide (CO 2 ) into deep saline aquifers (DSAs). Keeping this in mind, this research aims to investigate the effects of various injection schemes/scenarios and aquifer characteristics with a particular view to enhance the current understanding of the key permanent sequestration mechanisms, namely, residual and solubility trapping of CO 2 . The paper also aims to study the influence of different injection scenarios and flow conditions on the CO 2 storage capacity and efficiency of DSAs. Furthermore, a specific term of the permanent capacity and efficiency factor of CO 2 immobilization in sedimentary formations is introduced to help facilitate the above analysis. Analyses for the effects of various injection schemes/scenarios and aquifer characteristics on enhancing the key permanent sequestration mechanisms is examined through a series of numerical simulations employed on 3D homogeneous and heterogeneous aquifers based on the geological settings for Sleipner Vest Field, which is located in the Norwegian part of the North Sea. The simulation results highlight the effects of heterogeneity, permeability isotropy, injection orientation and methodology, and domain-grid refinement on the capillary pressure–saturation relationships and the amounts of integrated CO 2 throughout the timeline of the simulation via different trapping mechanisms (solubility, residual and structural) and accordingly affect the efficiency of CO 2 sequestration. The results have shown that heterogeneity increases the residual trapping of CO 2 , while homogeneous formations promote more CO 2 dissolution because fluid flows faster in homogeneous porous media, inducing more contact with fresh brine, leading to higher dissolution rates of CO 2 compared to those in heterogeneous porous medium, which limits fluid seepage. Cyclic injection has been shown to have more influence on heterogenous domains as it increases the capillary pressure, which forces more CO 2 into smaller-sized pores to be trapped and exposed to dissolution in the brine at later stages of storage. Storage efficiency increases proportionally with the vertical-to-horizontal permeability ratio of geological formations because higher ratios facilitate the further extent of the gas plume and increases the solubility trapping of the integrated gas. The developed methodology and the presented results are expected to play key roles in providing further insights for assessing the feasibility of various geological formations for CO 2 storage.

Suggested Citation

  • Kamal Jawher Khudaida & Diganta Bhusan Das, 2020. "A Numerical Analysis of the Effects of Supercritical CO 2 Injection on CO 2 Storage Capacities of Geological Formations," Clean Technol., MDPI, vol. 2(3), pages 1-32, September.
    • Handle: RePEc:gam:jcltec:v:2:y:2020:i:3:p:21-364:d:406945
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    References listed on IDEAS

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    1. Sikandar Khan & Yehia Abel Khulief & Abdullatif Al-Shuhail, 2019. "Mitigating climate change via CO2 sequestration into Biyadh reservoir: geomechanical modeling and caprock integrity," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(1), pages 23-52, January.
    2. Said, Arshe & Laukkanen, Timo & Järvinen, Mika, 2016. "Pilot-scale experimental work on carbon dioxide sequestration using steelmaking slag," Applied Energy, Elsevier, vol. 177(C), pages 602-611.
    3. Cui, Guodong & Wang, Yi & Rui, Zhenhua & Chen, Bailian & Ren, Shaoran & Zhang, Liang, 2018. "Assessing the combined influence of fluid-rock interactions on reservoir properties and injectivity during CO2 storage in saline aquifers," Energy, Elsevier, vol. 155(C), pages 281-296.
    4. 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.
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