In this study, we use an analytical approach and the interpolation-supplemented lattice Boltzmann method (ISLBM) to quantify convective and diffusive transport during CO₂ dissolution. In the first step, we use a turbulence analogy and the ISLBM to determine the relationship between the Rayleigh number (Ra) and the ratio of the pseudo-diffusion coefficient to the molecular diffusion coefficient $\left(\frac{D^{*}}{D}\right)$ . We then use experimental data from two oil samples, condensate and crude oils, to validate the obtained relationship between $\frac{D^{*}}{D}$ and Ra. We also use the Sherwood number (Sh) and total mixing and diffusive transport curves to analyze different periods during CO₂ dissolution for condensate and crude oils. We focus, in particular, on how Ra affects the characteristics of density-driven fingers and the convection field. Our results show that there is a logarithmic trend between $\frac{D^{*}}{D}$ and Ra. Analysis of the total mixing and diffusive curves indicates that the CO₂ dissolution process can be divided into three distinct periods, namely, diffusive transport, early convection, and late convection. We find that more than 50% of the ultimate CO₂ dissolution occurs in the early convection period. We also show that the analytical results obtained for the critical time and critical depth at the onset of convection is in good agreement with those of the ISLBM. After the onset of convection, the formation of initial fingers leads to enhanced convective transport, with marked implications for the concentration variance and mixing rate.