Correlation for predicting the molecular weight of Brazilian petroleum residues and cuts: An application for the simulation of a molecular distillation process |
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Authors: | Lamia Zuñ iga Liñ an,Ná dson Murilo Nascimento Lima |
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Affiliation: | a Separation Process Development Laboratory (LDPS), School of Chemical Engineering, University of Campinas, UNICAMP, P.O. Box 6066, 13083-970, Campinas-SP, Brazilb Optimization, Project and Advanced Control Laboratory (LOPCA), School of Chemical Engineering, University of Campinas, UNICAMP, P.O. Box 6066, 13083-970, Campinas-SP, Brazilc Centro de Pesquisas e Desenvolvimento da Petrobrás (CENPES/Petrobrás), Rio de Janeiro, Brazild Universidade Federal da Bahia, Escola Politécnica, Programa de Engenharia Industrial, 40210-630, Salvador-BA, Brazil |
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Abstract: | In this work a correlation to predict the molecular weights of Brazilian heavy petroleum residues and cuts is developed. The residues were obtained from conventional distillation processes ASTM D 2892 (2005) and ASTM D 5236 (2003). The correlation was developed by adjusting experimental parameters of the API correlation (defined for light cuts). For the adjustment, molecular weight data of atmospheric residues (673.15 K+) of 14 heavy crude oils (API ≤ 25.5) obtained from a steady state refining process simulator (PETROX) were used. The adjusted correlation was validated with data from the molecular weights of atmospheric residues derived from 7 other heavy Brazilian crude oils and very good results were obtained, with an average absolute deviation of 2.20%. Furthermore, the predicted molecular weights and actual measured ones using Vapor Pressure Osmometry (VPO) of the 10 distillate cuts and 10 residues obtained by molecular distillation of atmospheric residues were compared. In general, improved results are provided by the developed correlation in relation to the conventional method, with a good correspondence between the predicted and experimental values for the cuts and residues studied here. |
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Keywords: | molecular distillation molecular weight specific gravity petroleum vapor pressure osmometry |
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