STUDY OF THE PROCESS OF ADSORPTION OF PETROLEUM PRODUCTS METHODS OF MULTIVARIATE CLUSTER ANALYSIS

Abstract

The article is devoted to studying the process of adsorption of oil products using multivariate cluster analysis methods. The study solves the problem of environmental pollution with petroleum substances and the search for effective cleaning methods. The work aims to study the prospects of using synthetic zeolites to effectively purify industrial wastewater from oil products. The scientific novelty of the study is the study of the potential of synthetic zeolites as adsorbents to ensure an efficient and environmentally friendly process of cleaning industrial wastewater from petroleum products. The adsorption research methodology included selecting and preparing eight types of adsorbents, determining temperature and concentration range, measuring adsorption capacity, data processing and analysis of results. In the experimental study, the photometric method was used, one of the most accurate and widely used methods for measuring the adsorption of petroleum products. The study results indicate some materials potential for the effective adsorption of petroleum products. The study provides grounds for recommendations regarding the optimal conditions for the adsorption process and the selection of materials for further research and development. The application of multivariate cluster analysis in the study of the adsorption process of oil products opens up new opportunities for solving environmental pollution problems and developing effective technologies for cleaning the environment. The outcomes of this study are anticipated to significantly benefit industries dealing with petroleum product separation and pollution control. By offering a more comprehensive understanding of the adsorption process, this research opens avenues for developing tailored adsorption strategies for specific applications.