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Optimize training using a high-fidelity simulator

06.01.2012  |  Harismiadis, V. I.,  Hyperion Systems Engineering Modeling and Simulation, Athens, GreeceKotsuba, D.,  JSC Metafrax, Gubakha, RussiaGareyshin, M.,  JSC Metafrax, Gubakha, RussiaStavrakas, D.,  Hyperion Systems Engineering, Athens, GreecePallis, T.,  Hyperion Systems Engineering, Athens, Greece

Here are lessons learned from a Russian methanol plant

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Modern plants are heat-integrated and increasingly automated. This fact diminishes the operator’s ability to intervene in a quick and effective manner should an incident occur. Under normal working conditions, the operator can apply basic knowledge successfully. At the first sign of a fault condition, the operator acknowledges the event in a clearly defined manner. As the abnormal situation continues, interdependent events propagate and a multitude of alarms go off. This causes the human response to deteriorate, forcing decisions to be made based on experience and best judgment.1,2

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