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Development of a new generalized correlation to characterize physical properties of pure components and petroleum fractions
, Article Fluid Phase Equilibria ; Vol. 363 , 15 February , 2014 , pp. 189-198 ; ISSN: 03783812 ; Jamshidi, S ; Sharif University of Technology
Abstract
A new generalized and non-group contribution method has been developed to predict critical temperature (Tc), critical pressure (Pc), critical volume (Vc) and acentric factor (ω) for pure substances and petroleum fractions based on two types of input parameters. This method can take either refractive index and molecular weight or refractive index and normal boiling point as its input. Since refractive index cannot be obtained for an unknown mixture (petroleum fraction), in order to apply the proposed method for petroleum fractions, refractive index is converted to mass density at 293K using the one-third rule. Moreover, the proposed correlation is capable of predicting the properties using...
Prediction of the kinematic viscosity of crude oil fractions
, Article Petroleum Science and Technology ; Volume 28, Issue 6 , 2010 , Pages 646-653 ; 10916466 (ISSN) ; Nozarpour, A ; Aghamiri, S. F ; Sharif University of Technology
Abstract
A generalized equation based on modified Eyring's theory for predicting kinematic viscosity of petroleum fractions is proposed in this work. The equation uses two reference fluids including a pair of (C6 and C10), (C10 and C14), or (C14 and C20) for petroleum fractions of molecular weight higher than 70 and lower than 300. Validity and accuracy of this equation have been confirmed by comparing the obtained results of this equation with experimental data. In contrast to other correlations that require so many specific parameters for oil viscosity prediction, this type of equation requires only molecular weight and true boiling point. The results obtained in this work are in agreement with...
On the introduction of a qualitative variable to the neural network for reactor modeling: Feed type
, Article Industrial and Engineering Chemistry Research ; Volume 48, Issue 8 , 2009 , Pages 3820-3824 ; 08885885 (ISSN) ; Mehdizadeh, H ; Bozorgmehry Boozarjomehry, R ; Towfighi Darian, J ; Sharif University of Technology
2009
Abstract
Thermal cracking of hydrocarbons converts them into valuable materials in the petrochemical industries. Multiplicity of the reaction routes and complexity of the mathematical approach has led us use a kind of black-box modelingsartificial neural networks. Reactor feed type plays an essential role on the product qualities. Feed type is a qualitative character. In this paper, a method is presented to introduce a range of petroleum fractions to the neural network. To introduce petroleum cuts with final boiling points of 865 °F maximum to the neural network, a real component substitute mixture is made from the original mixture. Such substitute mixture is fully defined, it has a chemical...
An evolved cubic equation of state with a new attractive term
, Article Fluid Phase Equilibria ; Volume 408 , 2016 , Pages 58-71 ; 03783812 (ISSN) ; Jamshidi, S ; Sharif University of Technology
Elsevier
Abstract
A large variety of modifications have been presented for the temperature dependent function (α) existing in the attractive term of cubic equations of state (CEOS). Most of α-functions attempted to modify the vapor pressure prediction of polar components while other modifications have focused on both polar and non-polar compounds and other relations have considered an expansion of polynomials in the acentric factor (ω) and reduced temperature (Tr) to predict vapor pressure more accurately. In most cases such as Soave and Peng-Robinson equations of state, the suggested α-functions do not show a limiting behavior when temperature increases infinitely. In addition, the incompetency of many...
Developing a new model for the determination of petroleum fraction PC-SAFT parameters to model reservoir fluids
, Article Fluid Phase Equilibria ; Volume 412 , 2016 , Pages 145-157 ; 03783812 (ISSN) ; Assareh, M ; Ghotbi, C ; Sharif University of Technology
Elsevier
Abstract
In this work, PC-SAFT, an equation of state based on perturbation theory, is applied to predict the reservoir fluids phase behavior. PC-SAFT parameters for pure components have previously been assessed, but they cannot be determined for petroleum fractions with unspecified components and composition. In order to remove this difficulty and making use of PC-SAFT model in the reservoir fluids simulations, a new approach is studied which leads to appearing generalized correlations for the estimation of PC-SAFT parameters for petroleum cuts and plus fractions using only their molecular weight and specific gravity, without the essential need for the characterization of petroleum fractions in...