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Advancements in refinery product blending

Advancements in refinery product blending

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Use adaptive modeling to revamp and maintain controllers

The right tools can improve refinery APC applications

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Dow uses Aspen Capital Cost Estimator

Dow to use AspenTech engineering software on petrochemical projects

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Narrow the gap between refinery planning and scheduling

Narrow the gap between refinery planning and scheduling

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Consider model-based inferential poperties for reformers

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

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Optimization of Ethylene Oxide absorber

Optimization of Ethylene Oxide absorber

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How prescriptive analytics can signal a new method of railway maintenance

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.

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How do hydrocarbon process industry innovations and best practices transform process engineering?

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.

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How digitalisation can help chemicals companies become more sustainable

How digitalisation can help chemicals companies become more sustainable

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How data, machine learning can power energy sector

How data, machine learning can power energy sector

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