DEVELOPMENT OF MODELS OF ATMOSPHERIC AND RECTIFICATION COLUMNS IN PRIMARY OIL REFINING

Authors

  • Orazbayev B. doctor of technical sciences, academician of the Engineering academy of the Republic of Kazakhstan, professor of the department of System analysis and Control, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
  • Kuzhukhanova Z.A. PhD student, Department of System Analysis and Management, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
  • Orazbaeva K.N. Doctor of Technical Sciences, Professor, EsilUniversity, Astana, Kazakhstan
  • Kishubaeva А. Senior Lecturer, Department of System Analysis and Management, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan

DOI:

https://doi.org/10.32014/2025.2518-1726.352

Keywords:

Atmospheric column, distillation column, primary oil refining plant, petroleum products, gasoline distillation

Abstract

At present, effective scientific methods and modern tools, in particular mathematical models and computer technologies, are required to obtain the necessary and high-quality petroleum products and ensure environmental safety in the processes of primary oil refining. In this regard, the goal and objectives of this work are to create control models that allow controlling the operating modes of the main columns of the atmospheric unit based on available statistical data, experimental, regression methods and the MATLAB system on a computer. Based on the data obtained by experimental-statistical methods and the method of sequential connection of regressors, the structure of the rectification models and atmospheric columns of the atmospheric block was determined. Unknown parameters of the structured models were obtained and identified using the Curve Fitting Tool of the MATLAB system.

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Published

2025-06-20

How to Cite

Оразбаев, Б., Кужуханова, Ж., Оразбаева, К., & Кишубаева, А. (2025). DEVELOPMENT OF MODELS OF ATMOSPHERIC AND RECTIFICATION COLUMNS IN PRIMARY OIL REFINING. Academic Scientific Journal of Computer Science, (2), 181–195. https://doi.org/10.32014/2025.2518-1726.352

Issue

Section

Information and communication technologies