Modeling of a Demethanizer Tower Using Statistical Tools

Fernando D'Almeida, Carlos Pires
2015 Journal of Environmental Science and Engineering A  
Monitoring of industrial plant performance and detection on flaws is important to the successful operation on industrial production units. Malfunctioning equipment can greatly impact plant performance by reducing the efficiency and increasing the production cost. Phenomenological equations cannot properly describe industrial processes. Thus, it is necessary to develop new equations for model industrial operations. The purpose of this study is to develop an empirical model for industrial
more » ... industrial demethanizer tower which is malfunctioning due to an error in the design in one of its plates. A nonlinear statistical model was designed to predict the pressure variation in the column, and consequently, the flooding conditions. This model was validated using industrial data to predict the maximum loads in the column.
doi:10.17265/2162-5298/2015.03.003 fatcat:pnrr44cui5h5hkfhpfh4facrny