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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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Circumvent design issues when adding new hydrotreating units

Follow these guidelines for substantial capital cost savings with existing flare systems

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Build a better bid, or how to achieve a competitive advantage in capital projects

Build a better bid, or how to achieve a competitive advantage in capital projects

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Riding the storm

The downstream industry is currently operating in a difficult environment of shifting demand patterns caused by volatile crude prices. Allison McNulty, AspenTech, USA, explains how advanced planning, in combination with scheduling software, can help refiners to successfully navigate the fluctuating economic storm.

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Optimization of Ethylene Oxide absorber

Optimization of Ethylene Oxide absorber

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How to add IoT functions to legacy equipment

Is it really possible to bring the benefits of the Internet of Things to older systems? Yes, according to one edge/IoT company.

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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 data, machine learning can power energy sector

How data, machine learning can power energy sector

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Advanced planning, optimum results

Advanced planning, optimum results

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