Gulf Coast refinery increases product recovery with neural networks

The BP-Amoco refinery in Texas City, Tex., has used a neural-networks system in its atmospheric distillation unit since 1996. By applying a new advanced-control system to its crude-tower process, Amoco Oil Petroleum Products Co. (now BP-Amoco) Texas City refinery saved more than $500,000/year in recovered product, according to the company. The Texas City refinery's atmospheric crude unit takes preheated crude oil and separates it into five streams: top stream (to vapor recovery), naphtha, kerosine, diesel (the primary product), and bottom stream. The distillation unit has a capacity of more than 400,000 b/d of crude. New software The company's on-str...

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