petrocontrol/FCC

FCC	(FCC reactor / regernerator)

Our FCC model begins with general calculations around the reactor. These inferences can be used as APC control variables or simply as engineering indicators


	Coke make – from regenerator conditions
	Cat to oil ratio – from reactor and regenerator heat balances
	Strippable coke make – from catalyst stripper conditions
	Feed Watson Kw factor – from vacuum unit inference models
	Reaction coke make – from Kw and reactor conditions
	Estimate of the feed Con Carbon
	Conversion, corrected to 221†C (430†F) – from reactor and fractionator conditions
	Crackability (ease of cracking of the feed)
	Estimate of catalyst activity
	Estimate of olefinic LPG
	Estimate of Octane
	Estimate of slurry density



The FCC inferential model technology has proven to:

	Model many useful indicators in open loop
	Trending of the inferences provides clues as to the feed properties and catalyst conditions. Especially these indicators are powerful in a lube refinery where the feed properties variations are large.
	Predict important constraints for closed loop control
	Use of the above calculations as disturbance variables helps controlling the unit well near it maximum capacity: conversion, gas make, coke make, LPG production, etc.
	Model product properties for closed loop optimization
	Slurry density, olefin content, octane number, etc, must be determined if one is to perform optimization of the unit.
	Respond to feed changes
	When the unit is at constraints it is very important for APC applications to quickly respond to new feed properties.
	Be easily understood
	The model follows standard process engineering procedures


	back to inferential control

FCC

Our FCC model begins with general calculations around the reactor. These inferences can be used as APC control variables or simply as engineering indicators

Coke make – from regenerator conditions

Cat to oil ratio – from reactor and regenerator heat balances

Strippable coke make – from catalyst stripper conditions

Feed Watson Kw factor – from vacuum unit inference models

Reaction coke make – from Kw and reactor conditions

Estimate of the feed Con Carbon

Conversion, corrected to 221†C (430†F) – from reactor and fractionator conditions

Crackability (ease of cracking of the feed)

Estimate of catalyst activity

Estimate of olefinic LPG

Estimate of Octane

Estimate of slurry density

The FCC inferential model technology has proven to:

Model many useful indicators in open loop

Trending of the inferences provides clues as to the feed properties and catalyst conditions. Especially these indicators are powerful in a lube refinery where the feed properties variations are large.

Predict important constraints for closed loop control

Use of the above calculations as disturbance variables helps controlling the unit well near it maximum capacity: conversion, gas make, coke make, LPG production, etc.

Model product properties for closed loop optimization

Slurry density, olefin content, octane number, etc, must be determined if one is to perform optimization of the unit.

Respond to feed changes

When the unit is at constraints it is very important for APC applications to quickly respond to new feed properties.

Be easily understood

The model follows standard process engineering procedures