FORECASTING AND OPTIMIZATION OF CATALYTIC CRACKING UNIT OPERATION UNDER CONDITIONS OF FUZZY INFORMATION

FORECASTING AND OPTIMIZATION OF CATALYTIC CRACKING UNIT OPERATION UNDER CONDITIONS OF FUZZY INFORMATION

This paper discusses the application of nonlinear regression to forecast and optimize the operation of catalytic cracking units under conditions of fuzzy information. Catalytic cracking is a crucial process in oil refining that produces high-quality gasoline and other light hydrocarbon products. How...

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Bibliographic Details
Main Authors: Narkez Boranbayeva, Batyr Orazbayev, Leila Rzayeva, Zhalal Karabayev, Murat Alibek, Baktygul Assanova
Format: Article
Language:English
Published: Astana IT University 2024-09-01
Series:Scientific Journal of Astana IT University
Subjects:
catalytic cracing
nonlinear regression
fuzzy logic
optimization
forecasting
technological processes
oil refining
Online Access:https://journal.astanait.edu.kz/index.php/ojs/article/view/611
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