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Comprehensive performance analysis of kinetic models used to estimate asphaltene adsorption kinetics on nanoparticles

Syed Imran Ali, Shaine Mohammadali Lalji, Zahoor Awan, Saud Hashmi, Ghani Khan, and Muhammad Asad

Department of Petroleum Engineering, NED University of Engineering and Technology, Karachi, Pakistan



Received: 8 July 2022  Accepted: 4 September 2022


This research study aims to conduct a rigorous comparative performance analysis of four different kinetic models used to predict asphaltene adsorption kinetic on nanoparticles. The models included in this study were zero-order kinetic model, pseudo-first-order model, pseudo-second-order kinetic model and the Elovich model. The models were implemented on published experimental datasets present in the literature. The study discusses the working and behaviour of kinetic models while predicting asphaltene adsorption kinetic rates on three different concentrations (taken as three cases) of fumed silica nanoparticles. The model prediction results are analysed both through statistical parameters (MAE and R2) and graphically through cross-plots and relative plots. In all cases, it was observed that experimental kinetic adsorption data generated in later times of the experiment satisfy models more precisely as compared to the experimental data yielded in earlier times. This study also proved and confirmed by validation dataset that the pseudo-second-order kinetic model is the best kinetic model (R2 of 0.999) followed by the pseudo-first-order model and then the Elovich model. The last rank concerning accuracy was achieved by zero-order kinetic model.

Keywords: Asphaltene; Adsorption; Kinetic models; Nanoparticles; Performance

Full paper is available at

DOI: 10.1007/s11696-022-02539-9


Chemical Papers 77 (2) 1017–1031 (2023)

Thursday, May 30, 2024

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