The model was used to study the effects of the many variables that affect coke formation
Coking inside tubes is a major issue in delayed coker units. Due to coke formation inside tubes, they cannot be continuously operated after a few months. Thus, they have to be shut down and the coke has to be removed. The coke formation rates in heaters is a function of many variables. This article studies the effects of these variables on coke formation rate inside heaters. For further analysis an artificial neural network (ANN) model was used. It was found that the model could map the situation satisfactorily. The model results are presented.
Introduction. The delayed coker heaters in this study are pigged every five months (on average). The coking rate is a function of various variables
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