Environment & Safety Gas Processing/LNG Maintenance & Reliability Petrochemicals Process Control Process Optimization Project Management Refining

Process Control

Avoiding plant tests with dynamic simulation

Preemraff: Alsop, N.
AspenTech: Ferrer, J. M.

A model-predictive controller based on models derived from first-principles dynamic simulation as an alternative to empirical models identified from plant test data is presented

Optimize steam system control with dynamic simulation

Bechtel India Pvt Ltd.: Chittibabu, H.  |  Kostjuhin, I.  |  Valli, A.

Dynamic simulation was used to evaluate two control schemes of a steam utility system

HP Control: Condenser hot vapor bypass control

Petrocontrol: Friedman, Y. Z.

What is the worst mistake? It is the one that is repeated in practically every refinery, and yet, we haven't managed to learn from it. I have chosen to discuss the very simple distillation column pres..

HP Control: Part 2—What happened to simple useful APC techniques?

Petrocontrol: Friedman, Y. Z.

This is the second part of my interview with Greg Martin about simple control techniques, unjustifiably retired. In this part we address single-input, single-output (SISO) predictors and simple engine..

Online transfer from an analog electronic control system to a modern DCS

Fauji Fertilizer Co. Ltd.: Ali, R.  |  Anwar, Z.

Proper planning, personnel training and interdepartmental communications were keys to the success of this project

Fieldbus in your future: Training overcomes complexity issues

Fieldbus Center, Lee College: Carter, C.

A comprehensive instruction program can help plant management prepare personnel for the new era of digital process control

Satisfying safety standard competency requirements

exida LLC: Goble, W.

Deploying a robust, IEC conformant safety instrumented system requires uncompromised competency in every step of the process

Using Industrial Ethernet for process automation

PROFIBUS Trade Organization: Henning, C.

Two standards organizations provide this capability

Novel approach for process plant monitoring

Jubail United Petrochemical Co., Sabic: Al-Baiyaa, M.  |  Lenka, C.
National Institute of Technology: Khalfe, N.  |  Lahiri, S. K.

Using statistical data compression important process changes can be quickly detected and identified

Chromatographic methods to analyze ethanol and gasoline/ethanol blends

Shimadzu Scientific Instruments, Inc.: Mott, J.  |  Taylor, M.

These techniques offer better process control and can improve the bottom line