Modeling and Prediction of Asphaltene Adsorption Isotherms Using Polanyi’s Modified Theory

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Journal Title, Volume, Page: 
American Chemical Society
Year of Publication: 
2013
Authors: 
Juliana Giraldo
Grupo de Investigacio ́ n en Yacimientos de Hidrocarburos, Facultad de Minas, Universidad Nacional de Colombia Sede Medellı ́ n, Medellı ́ n, Antioquia, Colombia
Nashaat N. Nassar
Chemical and Petroleum Engineering Department, Schulich School of Engineering, University of Calgary, Calgary, Alberta T2N 1N4, Canada
Current Affiliation: 
Department of Chemical Engineering, An-Najah National University, P.O. Box 7, Nablus, Palestine
Pedro Benjumea
Pedro Pereira-Almao
Chemical and Petroleum Engineering Department, Schulich School of Engineering, University of Calgary, Calgary, Alberta T2N 1N4, Canada
Farid B. Corte ́ s
Grupo de Investigacio ́ n en Yacimientos de Hidrocarburos, Facultad de Minas, Universidad Nacional de Colombia Sede Medellı ́ n, Medellı ́ n, Antioquia, Colombia
Preferred Abstract (Original): 
The deposition of asphaltenes is one of the most difficult problems to overcome in crude oil production and processing. The presence of asphaltenes in crude oil and, consequently, the adsorption and deposition of asphaltenes on rock surfaces, affects rock properties such as porosity, permeability, and wettability. In this study, a novel model for modeling and predicting adsorption isotherms of asphaltenes based on Polany’s modified theory is proposed. This approach enables prediction of adsorption isotherms at different temperatures (usually corresponding to reservoir temperatures), thereby improving our understanding of adsorption–equilibrium behavior at reservoir conditions, which should lead to reductions in experimental/analytical time and operation costs. The theoretical predictions of isotherms were validated successfully by determining the root-mean-square errors (RSM%) between data obtained from published literature and values predicted for asphaltenes and surfaces with differing chemical natures. The RSM% value is below 5% for all predictions. Additionally, the Dubinin–Astakhov model is used to correlate adsorption characteristic curves, resulting in RSM% values lower than 10%.
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