Abstract
Offshore saline aquifers in the South China Sea are promising targets for large-scale CO2 sequestration because of their substantial capacity and proximity to major coastal emission sources. However, reliable prediction of CO2 plume migration and dissolution trapping remains challenging because key fluid properties are often estimated from empirical correlations rather than measured under in-situ conditions. This study develops an integrated experimental–numerical framework to investigate the mechanisms and scaling laws of CO2 convective dissolution. The diffusion coefficient, solubility, and density of the CO2–brine system were determined from formation brine experiments under reservoir conditions representative of the South China Sea. CO2 diffusion coefficients measured by Raman spectroscopy range from 2.89 × 10⁻9–4.78 × 10⁻9 m2·s⁻1 at 313.15–363.15 K and 7.5–17 MPa. Diffusivity increases significantly with temperature, decreases systematically with salinity, and is only weakly affected by pressure. Solubility and density measurements further confirm that CO2 dissolution generates sufficient density contrast to trigger density-driven convection. These experimentally constrained fluid properties were incorporated into Darcy-scale numerical simulations to quantify dissolution dynamics. The results identify the Rayleigh number (Ra) as the key parameter controlling the transition from diffusion-dominated to convection-dominated dissolution. The onset time of convection and the maximum mass transfer rate are described by tonset=1.45 × 107Ra− 1.98 and Shmax=0.045Ra1.12, respectively. Simulations for South China Sea aquifers indicate that reservoir properties have limited influence on final dissolved CO2 mass, but affect dissolution kinetics. These findings provide a calibrated basis for reservoir screening, injection design, and long-term assessment of offshore CO2 sequestration.
| Original language | English |
|---|---|
| Article number | 24 |
| Number of pages | 21 |
| Journal | Carbon Neutrality |
| Volume | 5 |
| Issue number | 1 |
| Early online date | 29 Jul 2026 |
| DOIs | |
| Publication status | E-pub ahead of print - 29 Jul 2026 |
Bibliographical note
We thank Shenzhen Guangming Science City Development and Construction Co., Ltd. and its Material Genome Big-Science Facilities Platform, for providing technical support and assistance in data collection and analysis.Funding
National Natural Science Foundation of China (52304098, 52474105), Youth S&T Talent Support Programme of Guangdong Provincial Association for Science and Technology (GDSTA), Natural Science Foundation of Guangdong Province (2025A1515010748), Shenzhen Science and Technology Program (JCYJ20220818095605012, SYSRD20250529113200001), Research Team Cultivation Program of Shenzhen University (2023QNT004), Shenzhen University 2035 Initiative (2022B001).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- CO2 storage
- Offshore saline aquifers
- CO2 diffusion coefficient
- CO2-enriched brine density
- CO2 convective dissolution
- Scaling analysis
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