Automated costing of intermediate products of a crude distillation unit in a refinery

A non-transitory, computer-readable medium storing one or more instructions executable by a computer system to perform operations comprising:

• receiving field data for distillation column feed streams and associated processes of a crude distillation unit of an oil refinery;
• receiving maintenance history events and estimates per event of each distillation column of the oil refinery;
• performing, using the field data, mass and energy balance around each distillation column;
• determining, using the mass and energy balance around each distillation column, reconciled data and thermodynamic properties for each distillation column;
• determining, using the reconciled data and thermodynamic properties for each distillation column and the maintenance history events and estimates per event, key performance indicators (KPIs) for each distillation column;
• executing, using the distillation column performance KPIs, a decision support model for the oil refinery, wherein the decision support model models are based on activity-based information;
• determining, based on executing the decision support model, information regarding operation of the oil refinery at a current performance level;
• determining, based at least on the information regarding operation of the oil refinery, proactive and reactive data and KPIs for distillation column estimate performance of each of the distillation columns;
• and providing, for display in a user interface, proactive and reactive data and KPIs for distillation column estimate performance of each of the distillation columns.

A computer-implemented system, comprising:

• one or more processors;
• and
• a non-transitory computer-readable storage medium coupled to the one or more processors and storing programming instructions for execution by the one or more processors, the programming instructions instructing the one or more processors to perform operations comprising:
• receiving field data for distillation column feed streams and associated processes of a crude distillation unit of an oil refinery;
• receiving maintenance history events and estimates per event of each distillation column of the oil refinery;
• performing, using the field data, mass and energy balance around each distillation column;
• determining, using the mass and energy balance around each distillation column, reconciled data and thermodynamic properties for each distillation column;
• determining, using the reconciled data and thermodynamic properties for each distillation column and the maintenance history events and estimates per event, key performance indicators (KPIs) for each distillation column;
• executing, using the distillation column performance KPIs, a decision support model for the oil refinery, wherein the decision support model models are based on activity-based information;
• determining, based on executing the decision support model, information regarding operation of the oil refinery at a current performance level;
• determining, based at least on the information regarding operation of the oil refinery, proactive and reactive data and KPIs for distillation column estimate performance of each of the distillation columns;
• and
• providing, for display in a user interface, proactive and reactive data and KPIs for distillation column estimate performance of each of the distillation columns.