This paper is devoted to analysis of oil treatment technology in the case of complex industrial process realization and further selection of technological mode. Mathematical modelling method is used to improve the efficiency of dewatering and desalting processes. The simulation system based on module modelling principle is developed. Every module is described in terms of appropriate combination of phenomena and processes. Problems of oil treatment analysis of complex structured technological scheme and searching of effective dewatering and desalting processes technological modes are solved
Zeolites are widely used as catalysts and catalyst supports for fuel and lubricants production processes with enhanced performance properties. Design of industrial reactor requires the construction of a mathematical model and selection of optimal operating conditions for reducing the number of scaling stages. The authors have proposed a scheme of hydrocarbons conversion on zeolite catalysts, thermodynamics of reactions has been considered and the inverse kinetic problem has been solved. The model of reactor of straight–run gasoline fractions refining in software HYSYS Aspen Plus™ process simulator has been developed and its adequacy to experimental data has been shown
Stability of crude oil distillation units was analyzed with mathematical models developed using Aspen Hysys. Parametrical sensitivities of light fractions yields, heat duties and steam load of column trays to perturbations of superheated steam flow rate were estimated. Objective function based on the light products yields and energy consumption for distillation was formed. The maxima of the objective function were calculated depending on operational parameters and flow rate of water steam
Flowsheet of industrial refining straight-run gasoline on zeolite catalyst includes the necessary stage of fractionation of conversion products to produce commercial gasoline, gas and heavy residue. Changes in qualitative and quantitative compositions of the catalytic conversion products under catalyst deactivation require current parametrical optimization of this stage. Objective functions that take into account catalyst deactivation and the constrains depending on the requirements for product quality and equipment specifications were developed. Optimal conditions were found to differ significantly from those designed for fresh catalyst
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