Abstract
Principal component analysis was applied in an attempt to predict the activity of paraffin inhibitors on crude oils. Using a data matrix consisting of activity and physico-chemical parameters it was possible to classify crude oils and chemical inhibitors into different families. From the relationships between these families, a method (INIPAR model) which permits the choice of the best paraffin inhibitor was proposed.
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