شهریار عصفوری

Asphaltenes are heavy molecules that there are in petroleum reservoirs. The presence of Asphaltene in petroleum reservoir fluids, has not any problem but its precipitation may causes many problems. Asphaltene precipitation may occur during pressure depletion or EOR treatments such as gas injection. On the other hand causes severe detrimental effect on the economics of oil industry because of decrease production and clogging of the production facilities. In general thermodynamics and colloidal models are used for Asphaltene modeling. In this work employed solid thermodynamic model for modeling and sensitive analysis on key parameters; such as solid molar volume and binary interaction between precipitating component and light fluid components. PVT data is used for modelling for an Iranian oil sample that experimental data includes CCE test, Differential Liberation test and saturation pressure. Current study is focused on finding the optimized characterization by examining several fluid properties correlations, equation of states, BIPs and distribution functions for the oil sample. In fact the aims are how much Asphaltene and under what conditions it would precipitate. In finally the model could predict Asphaltene precipitation well and it is in good agreement with experimental data.