At the moment, there is a situation in the world in which the volume of proven reserves of light oils is decreasing, and the volume of reserves of heavy oils are increasing. The processing of heavy hydrocarbons is becoming more complicated and does not provide the necessary depth of extraction of light distillates. Large capital expenditures are required to ensure the specified oil refining depth parameter.The deepening of oil refining is developing through the development and implementation of flexible technological schemes and advanced high-intensity environmentally friendly thermocatalytic and hydrogenation processes for deep processing of vacuum gas oils and oil residues, which include catalytic cracking.Catalytic cracking allows not only to increase the depth of oil refining, but also to ensure the production of a high-octane component of commercial gasoline. In addition, the products are gases rich in propane-propylene and butane-butylene fractions which are used as raw materials for petrochemical synthesis and production of motor fuel components.Currently, the problem of improving the catalytic cracking process is quite acute, because at existing installations, catalytic systems are being replaced with domestic analogues, the raw materials of the process are becoming heavier due to the use of deep vacuum distillation of oil and the need for high-quality commercial products and petrochemical raw materials is increasing.Therefore, the paper proposes to use a modeling method to predict the process indicators. The mathematical model will allow us to develop technical solutions to optimize the operation of the catalytic cracking unit in order to increase the depth of processing of hydrocarbon raw materialsBased on monitoring the operation of an industrial catalytic cracking plant, experimental dependences of the effect of process parameters on the yield of target products were obtained, systems of differential equations of material balance were developed, experimental and calculated data on the model were compared.Regression analysis was used to determine the existence of dependence, and the correlation method was used to describe the nature of the relationships. The main parameters of the catalytic cracking process are described, such as temperature, pressure drop, catalyst level and steam consumption. The dependences of the output parameters on each other (gasoline, butane-butylene and propane-propylene fractions) were revealed. The model is obtained in the form of a generalized formula based on a combination of complex methods in the analysis. The adequacy of the obtained equation has been confirmed using existing software. A new software solution has been proposed for the selection of optimal process parameters based on the previously compiled model.
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