OPTIMIZATION OF DRAIN WATERS CHEMICAL COMPOSITION FOR NAPHTHA HYDROTREATER BY MULTIPLE REGRESSION ANALYSIS METHOD

Abstract

When analyzing the results of scientific research, situations often arise where the response function depends on several factors. In these cases, multiple linear regression analysis is used to find model parameters. The article considers this method of analysis used for the naphtha hydrotreating system. The drain water chemical composition is represented by multiple regression analysis. With the help of regression analysis, the components of the drainage water composition were revealed, which have a major influence on the corrosion of the elements of the naphtha hydrotreater. To achieve this goal: 1. A multiple regression analysis of the drain water components was carried out; 2. Based on the definition of the most aggressive components, an inhibitor or neutralizer was selected which most effectively suppresses corrosion processes under the given operating conditions of the naphtha hydrotreater. To reduce the number of variables in the regression model, their step-by-step selection was used. As a result of multiple regression analysis, it was revealed that the drain waters of the refinery contain the following components: Fe, Cl, NH4, S2. Multiple regression analysis for the additive model has shown that the parameters of Cl, NH4 are insignificant for this model. That is they do not affect the destruction of the reactor metal where the catalytic naphtha hydrotreating takes place. It is revealed that the aggressiveness of the medium depends only on the pH and sulfur content. The drain waters under investigation are of an alkaline character, neutralization of salts with «weak» carbonic acid is possible. The use of this method is not only safer in the technical and environmental aspects, but also more economical in terms of the cost of neutralization.