In this study, a methodology was implemented to predict crude distillation tower flooding events based on key process variables, including product yields, column pumparound (PA) flowrates, column temperatures and overhead reflux flowrate.
A methodology was implemented to optimize the operation of a refinery crude distillation unit (CDU) using a combination of process simulation and statistical modeling methods.
A new methodology can be used to optimize the operations of an alkylation unit based on response surface methods.