Optimize training using a high-fidelity simulator

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06.01.2012 | Harismiadis, V. I., Hyperion Systems Engineering Modeling and Simulation, Athens, Greece; Kotsuba, D., JSC Metafrax, Gubakha, Russia; Gareyshin, M., JSC Metafrax, Gubakha, Russia; Stavrakas, D., Hyperion Systems Engineering, Athens, Greece; Pallis, 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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