Predictions of products and feeds from operating conditions of crude fractionator

Abstract This paper is to provide the information of the products and feeds of crude fractionator, hard to get from hardware system, by using inferential model for real-time operating conditions. Knowing that the characteristic of each product of crude distillation tower follows the probability function, it has become possible to consider the variables of the the probability function as operating conditions. The proposed model can provide tool for doing more efficient operations to maximize profit. In this study, Partial Least Squares Projections to Latent Structures(PLS) technique was also used to make inferential model.