Large-scale oil spill simulation using the lattice Boltzmann method, validation on the Lebanon oil spill case

Truncation effect on Taylor–Aris dispersion in lattice Boltzmann schemes: Accuracy towards stability

“…The rational behind is that the anisotropic equilibrium reduces the dispersivity of the collision eigenvalue spectrum. Recently, the d2Q9 TRT scheme was found adequate for a transient (24 h) large scale oil spill modeling in kilometric-scale hydrodynamic velocity field generated by the sub-regional model, [49]. In this last work, the d2Q9 hydrodynamic stencil was preferred to the d2Q5 due to its better isotropy, in agreement with the truncation results [19], and for (rather modest) improvement of the accuracy in long-time evolution of the Gaussian plume.…”

“…Combining this correction together with H −4 and H −6 terms in Eq. (49) one can improve the predicted solution (53) for all three Péclet number, especially for larger Λ = { 1 4 , 1 2 }, as shown in Figure 12. Notice that we then also accounted for possible summation correction in Eq.…”

“…11, we find that it is in competition with the high-order summation corrections from Eq. (49). Combining this correction together with H −4 and H −6 terms in Eq.…”

“…All curves err D (t (a) c ) have a common, Λ−independent point for t (a) c = 1 3 but this hydrodynamic velocity-weight has non-zero numerical dispersion as Pe increases. Finally, we recall that the second-order term k (1) T /192 from the suggested summation correction (49) was dropped in Eq. (50).…”

Molecular dynamic simulation of asphaltene co-aggregation with humic acid during oil spill

“…Large scale aggregation of asphaltenes is adverse for oil removal because it (i) alters the surface hydrophobicity and increases the mass transfer resistance for the release of light oil fractions during physical removal, and (ii) forms a thick and viscous non-aqueous phase liquid hindering the biodegradation due to the lack of water, oxygen and nutrients (Coulon et al, 2010). Although various numerical models have been developed to predict oil fate such as the Monte Carlo based nonlinear dynamic program (Li et al, 2014), the lattice Boltzmann based large-scale oil spill model (Maslo et al, 2014) and the Eulerian-Lagrangean cross-scale oil spill model (Azevedo et al, 2014), the effects of asphaltene aggregation on the overall environmental risks were not well incorporated into these models. During the last decade, great efforts have been made to interpret the asphaltene aggregation process using experimental techniques and molecular simulation approaches.…”