Dow to use AspenTech engineering software on petrochemical projects

Narrow the gap between refinery planning and scheduling

A European refiner opts to apply embedded multivariable predictive controllers as part of an advanced process control system

Optimization of Ethylene Oxide absorber

As scheduling has become more sophisticated, maintenance processes have evolved and improved. However, as Michael Saucier, Product Manager at AspenTech discusses, recent studies indicate that most equipment fails on a ‘random’ basis no matter how many assets are inspected. In other words, failures cannot necessarily be correlated to how maintenance was performed.

The cross-discipline integration of modeling and analysis tools can help select the best design options and ensure the safe and profitable operation of process plants.

How digitalisation can help chemicals companies become more sustainable

How data, machine learning can power energy sector

How chemicals companies can drive operational resilience with the digital twin

Advanced planning, optimum results