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Process Control

Computational fluid dynamics simulation of solid–liquid slurry flow

Hydrocarbon Processing / April 2009
National Institute of Technology: Ghanta, K. C.  |  Lahiri, S. K.
Process Control / Information Systems

The resulting model's predictions showed reasonably good agreement with the experimental data

Wireless networks improve refinery operation

Hydrocarbon Processing / March 2009
Emerson Process Management: Martin, G.
Process Control

Smart instruments and secure wireless communications enable enhanced operations and asset management

OPC UA: an end user's perspective

Hydrocarbon Processing / March 2009
OPC Training Institute: Kondor, R.
Process Control

The updated specification relies on Web services for its data transportation providing significant advantages

Soft sensor modeling using artificial neural networks

Hydrocarbon Processing / March 2009
Mangalore Refinery & Petrochemicals Ltd.: Nandakumar, V.
Process Control

Here are guidelines for proper construction

Hydrogen gas detection

Hydrocarbon Processing / March 2009
General Monitors: Naranjo, E.
Process Control

Combining detection systems improves safety

HP Control: CDU overhead double-drum configuration

Hydrocarbon Processing / March 2009
Petrocontrol: Friedman, Y. Z.
Process Control

Fig. 1 shows one of many CDU overhead configurations, with naphtha cutpoint control accomplished by a column top temperature controller manipulating a top pumparound (TPA) circuit heat removal. This c..

Genetic algorithm tuning improves artificial neural network models

Hydrocarbon Processing / January 2009
National Institute of Technology: Ghanta, K. C.  |  Lahiri, S. K.
Process Control / Information Systems

The technique is illustrated by predicting hold-up of slurry flow in pipelines

HP Control: Align alkylation separation to economics

Hydrocarbon Processing / January 2009
Clifftent Inc.: Latour, P. R.
Process Control

A recent HP editorial1 showed the effect of advanced process control (APC) with inferential models on alkylation isostripper iC4 lost to an nC4 side draw (Fig. 1). From trend data for the two periods ..

Align HPI operations to economics

Hydrocarbon Processing / December 2008
Clifftent Inc.: Latour, P. R.
Process Control / Information Systems

Clifftent optimizes risky tradeoffs at limits

HP Reliability: To b(ias) or not to b(ias)? This is the question

Hydrocarbon Processing / December 2008
Petrocontrol: Friedman, Y. Z.
Process Control

How often would you bias an inferential model? Given the propensity of instruments to go off calibration, "never" is not a valid answer. "Every day upon receiving lab information" is an equally bad an..