“…However, it is important to emphasize that in more realistic simulations, a robust probabilistic nucleation model ,− ,, should determine the number of crystallites and their spatial distribution. In such instances, low interfacial free energies between the secondary crystals and the crystallites (of the same mineral) should give rise to clustering and aggregate formation around pre-existing crystallites, especially at low supersaturations. , Subsequently, in each MC-simulation crystallites undergo growth based on a specified growth model, such as Burton, Cabrera, and Frank (BCF) , also depending on the secondary mineral of interest, the aqueous supersaturation and temperature. - Deriving the distribution of clogging model parameters : Porosity–permeability pairs are calculated at various stages during the evolution of the system. Subsequently, by fitting the preferred clogging model curve (in this paper, we utilized the power law) to each simulation, a distribution of the clogging model parameter can be derived.
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