LAUSR

Distillation curve is a kind of essential property for petroleum. Its features are beneficial for the modeling and optimization of oil refining processes. To capture these features with a small number of parameters, an asymmetric probability distribution function-based distillation curve reconstruction and feature extraction method is proposed for the industrial oil refining process. In our research, expressive power of several frequently-used probability distribution functions are firstly tested with some available distillation data. According to the statistics, the Kumaraswamy distribution function, one of asymmetric probability distribution functions with four parameters, is identified as the best. Since not all distillation data are directly obtainable in industry, total probability theory-based data synthesis technique is adopted to estimate the key distillation points of unsampled streams, especially for the unmeasurable intermediate products at the outlet of reaction system. Along with the distilla...