Refractive‐Light‐Transmission Technique Applied to Density‐Driven Convective Mixing in Porous Media With Implications for Geological CO2 Storage

Density‐driven convection has been identified to accelerate the rate of CO2 solubility trapping during geological CO2 storage in deep saline aquifers. In this paper, we present an experimental method using the refractive properties of fluids (their impact on light transmission), and an analogous system design, which enables the study of transport mechanisms in saturated porous media. The method is used to investigate solutally induced density‐driven convective mixing under conditions relevant to geological CO2 storage. The analogous system design allows us by choice of initial solute concentration and bead size to duplicate a wide range of conditions ( Ra‐values), making it possible to study the convective process in general, and as a laboratory analogue for systems found in the field. We show that the method accurately determines the solute concentration in the system with high spatial and temporal resolution. The onset time of convection ( tc), mass flux ( F), and flow dynamics are quantified and compared with experimental and numerical findings in the literature. Our data yield a scaling law for tc which gives new insight into its dependence on Ra, indicating tc to be more sensitive to large Ra than previously thought. Furthermore, our data show and explain why F is described equally well by a Ra‐dependent or a Ra‐independent scaling law. These findings improve the understanding of the physical process of convective mixing in saturated porous media in general and help to assess the CO2 solubility trapping rate under certain field conditions. Key Points A refractive‐light‐transmission technique to quantitatively study transport processes in porous media was developed An analogue system design allowed study of convective mixing under conditions relevant to geological CO2 storage Scaling laws for the onset time and mass flux of convection were derived, useful for assessment of CO2 solubility trapping potential