MODELLING THE PERFORMANCE OF THE WESTERN DESERT GAS COMPLEX FRACTIONATION TOWERS USING ARTIFICIAL NEURAL NETWORKS

Abstract

This work presents the use of the artificial neural network in modelling the performance of the fractionation towers in the natural gas processing plants. The methodology presented targets to build a well-constructed artificial neural network and further be used for prediction applications. The general methodology is implemented on one of the largest gas processing plants in Egypt, the western desert gas complex (WDGC).