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CC-00-148 REFINING AND PETROCHEMICAL PROPERTY PREDICTORS FOR DISTILLATION, FRACTIONATION, AND CRUDE SWITCH
Greg Martin Pavilion Technologies, Inc. Austin, Texas Zak Friedman Petrocontrol Hoboken, New Jersey Gary Barber The Automation Group, Inc. Houston, Texas Ed Bullerdiek Marathon Ashland Robinson, Illinois
Format:
Electronic (digital download/no shipping)
Associate Member, International Member, Petrochemical Member, Refining Member -
$0.00
Government, NonMember -
$25.00
Description:
This paper presents the neural network property predictors in the next six sections. The final four sections discuss the crude switch property predictor. The ultimate intent is to combine the two approaches. Use GCC for crude switches. Use the empirical models to model and correct the GCC mismatch against lab data, taking into account secondary factors.
Product Details:
| Product ID: | CC-00-148 |
|---|---|
| Publication Year: | 2000 |