Multifactorial optimization of the industrial process of catalytic reforming
Authors
I. I. Mannanova
Ufa State Petroleum Technological University
V. R. Kifyatov
Ufa State Petroleum Technological University
R. Z. Zainullin
LLC “Ishimbay Specialized Chemical Catalyst Plant”
I. M. Gubaidullin
Institute of Petrochemistry and Catalysis, Ufa Federal Research Center of RAS
Keywords:
catalytic reforming, mathematical modeling, regression analysis, multifactorial regression, Pareto front
Abstract
In the article, the authors analyzed the data of the technological mode of operation of the catalytic reforming installation for one year. The data represent technological parameters such as the temperature of the raw material at the entrance to the first reactor, the pressure at the entrance to the first reactor, etc. The data was averaged to the daily average. Non-operational parameters and downtime periods have been identified and excluded. Regression analysis was carried out by the method of multivariate linear regression in order to obtain a mathematical model of the installation. The use of this method allows you to take into account the influence of several parameters at the same time. A Pareto front has been built to identify the optimal operating mode of the installation.
