Asphaltene precipitation modeling in dead crude oils using scaling equations and non-scaling models: comparative study

Abstract This research study aims to conduct a comparative performance analysis of different scaling equations and non-scaling models used for modeling asphaltene precipitation. The experimental data carry out this are taken from the published literature. Five which include Rassamadana et al., Rassamdana Sahimi, Hu Gou, Ashoori log–log were applied in two ways, i.e., on full dataset partial datasets. Partial datasets developed by splitting terms Dilution ratio ( R ) between oil precipitant. It was found that all predict weight percentage with reasonable accuracy (except al. equation dataset) their is further enhanced when For prediction Critical dilution c precipitants detect precipitation onset point, datasets) either unable or produce results significant error. Finally, compared model predictions PC-Saft, Flory–Huggins, solid models. yield almost same improved best case (PC-Saft). However, , predicts more accurate as other