Modeling Asphaltene Precipitation in the Presence of Fe3O4 and NiO Nanoparticles Using the CPA EoS

In this study the cubic plus association equation of state (CPA EoS) is applied to model the asphaltene onset point in the reservoir model oil solution in the presence of Fe3O4 and NiO nanoparticles. First the CPA is tuned to model the asphaltene precipitation in the absence of nanoparticles with a new modeling approach according to asphaltene molecular structure. Then the CPA is extended to model asphaltene onset point in the presence of nanoparticles by considering the asphaltene self-association energy as the only tuning parameter of the model. Two accurate equations are introduced for the asphaltene self-association energy in the presence of Fe3O4 and NiO nanoparticles. The obtained results showed that the CPA EoS is able to precisely predict the asphaltene onset point in the presence of Fe3O4 and NiO nanoparticles with average absolute relative error equal to 6.57% and 3.21%, respectively.