Abstract
The introduction of algorithms into the chemical industry that ensure the production of products of the desired quality practically without the participation of maintenance personnel is an integral part of a modern oil refinery. They have proven themselves well in technological installations with continuous flow movement. But the peculiarities of the operation of delayed coking plants create certain problems in creating adequate working models.This article attempts to develop a method for predicting the qualityof petroleum coke based on the statistical data of the installation. An industrial delayed coking plant was chosen as the base of scientific research. Technological parameters of the installation and quality indicators of raw materials were selectedas an array of data of the developed model.
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