Current practice in refinery planning is to assume that the qualities of the crude oil
feedstocks are known, even though they often vary. The uncertainty of the quality properties …

This work develops best practices for building consistent data-driven CDU models for
production planning and for monitoring. Prior knowledge-based transformations of raw data …

Sustainable aviation fuel pathways do not generally yield selective synthetic blend
components in the aviation turbine fuel distillation range. Here we discuss a methodology for …

Many industrial engineering problems involve complex formulations and are assisted by
simulation tools. Although these tools provide highly accurate solutions, they may not be …

Featured Application The outcomes of this work can be applied to forecast C5 content in
debutanizer columns based on data obtained by a few pressure and temperature sensors. In …

Modeling and optimization of large-scale refinery scheduling problems is challenging
because of their complexity and size. Herein, we propose a mathematical model to …

To ensure the optimum performance of downstream processes in a petrochemical refinery,
the operation of a vacuum distillation unit (VDU) is critical. It needs to satisfy the yield and …

Nonlinear modeling for the processing units and enterprise-wide optimization are essential
to improve the overall profitability of production planning in the petrochemical enterprise …

A major operation in petroleum refinery plants, blend scheduling management of stocks and
their mixtures, known as blend-shops, is aimed at feeding process units (such as distillation …

Twelve crude oil blends prepared from seven individual crude oils and an imported
atmospheric residue were characterized through a true boiling point (TBP) distillation …