Speaker
Description
Given the growing concerns about climate change, reducing anthropogenic carbon accumulation in the atmosphere has become a critical focus. Carbon capture and storage (CCUS) has gained increasing attention as an effective midterm measure that could accommodate massive amounts of CO2 underground (32 gigatons per year)[1,2]. As one of the important mechanisms of CCUS, solubility trapping greatly determines the efficiency of CO2 sequestration. The carbon dissolution rate largely depends on the density-driven convection (DDC) of CO2 in water. Various factors are deciding the CO2 convection behavior in the porous media[3], making it challenging to interpret. Although there are multiple relevant simulation works, experimental studies are still lacking in quantifying the phenomena. The opaqueness and uncertainty of most porous media complicate the reproduction of experimental results and the quantification of DDC. In our experimental study, we primarily employed optical 3D-printed porous media with defined pore structures and properties to conduct carbon convection experiments. To visualize the CO2 convection patterns under different experimental conditions, we utilized a novel universal pH indicator that covers a broader measurable pH range (4.4 to 9.6) and detects subtle pH variation (below 0.1 pH unit)[4]. By mapping the colors of indicators to the pH, we can determine the spatiotemporal pH and total dissolved carbon, which quantitatively indicates the CO2 convection. Our error analysis indicates that our experimental techniques have a smaller margin of error in carbon measurement compared to previous studies[2,5]. Furthermore, we quantified the convection behavior by determining the mixing length, carbon flux across the interface, and the wavenumber, etc[6,7]. This experimental work can be of great interest to CCUS projects.
Keywords: Carbon capture and storage, density-driven convection, experimental techniques, quantification
| References | (1) De, N.; Singh, N.; Fulcrand, R.; Méheust, Y.; Meunier, P.; Nadal, F. Two-Dimensional Micromodels for Studying the Convective Dissolution of Carbon Dioxide in 2D Water-Saturated Porous Media. Lab Chip 2022, 22 (23), 4645–4655. https://doi.org/10.1039/D2LC00540A. (2) De, N.; Meunier, P.; Méheust, Y.; Nadal, F. Bi-Dimensional Plume Generated by the Convective Dissolution of an Extended Source of CO 2. Phys. Rev. Fluids 2021, 6 (6), 063503. https://doi.org/10.1103/PhysRevFluids.6.063503. (3) Chen, Y.; Chen, S.; Li, D.; Jiang, X. Density-Driven Convection for CO2 Solubility Trapping in Saline Aquifers: Modeling and Influencing Factors. Geotechnics 2023, 3 (1), 70–103. https://doi.org/10.3390/geotechnics3010006. (4) Thomas, C.; Lemaigre, L.; Zalts, A.; D’Onofrio, A.; De Wit, A. Experimental Study of CO 2 Convective Dissolution: The Effect of Color Indicators. International Journal of Greenhouse Gas Control 2015, 42, 525–533. https://doi.org/10.1016/j.ijggc.2015.09.002. (5) Brouzet, C.; Méheust, Y.; Meunier, P. CO2 Convective Dissolution in a Three-Dimensional Granular Porous Medium: An Experimental Study. Phys. Rev. Fluids 2022, 7 (3), 033802. https://doi.org/10.1103/PhysRevFluids.7.033802. (6) Slim, A. C. Solutal-Convection Regimes in a Two-Dimensional Porous Medium. J. Fluid Mech 2014, 741, 461–491. https://doi.org/10.1017/jfm.2013.673. (7) De Paoli, M.; Perissutti, D.; Marchioli, C.; Soldati, A. Experimental Assessment of Mixing Layer Scaling Laws in Rayleigh-Taylor Instability. Phys. Rev. Fluids 2022, 7 (9), 093503. https://doi.org/10.1103/PhysRevFluids.7.093503. |
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| Country | Norway |
| Water & Porous Media Focused Abstracts | This abstract is related to Water |
| Student Awards | I would like to submit this presentation into the InterPore Journal Student Paper Award. |
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