Model Applications to Process Optimization

After we validate the the model predictions with plant data, we would typically like to use the model to predict new operating scenarios or perform experiments that are too costly or otherwise prohibitive in actual atmospheric distillation. Refiners spend significant effort to develop models but they are rarely used again. Often times, the users neglect these models while the real column operation continues to change. Thus, when users actually run models, the predictions are far removed from process reality. The simple way to avoid this model stagnation is to use 

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Model Applications to Process Optimization -VDU Deep-Cut Operation I 135... 

Model applications to process optimization through industrially relevant case... 

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