Estimation of the water content of natural gas dried by solid calcium chloride dehydrator units

In this article two mathematical-based models are developed to estimate approximate water content of natural gas dried by calcium chloride dehydrator units for both freshly recharged and just prior to recharging conditions as a function of temperature and pressure. Firstly, a simple empirical correlation is presented to estimate water content of natural gas dried by solid calcium chloride dehydrator, Secondly, a multilayer perceptron (MLP) neural network is developed for the same calculations. The results of both presented models are found to be in excellent agreement with reported data in the literature. The tools developed in this study can be of immense practical value for engineers to have a quick check on water content of natural gas dried by calcium chloride dehydrator units as a function of dehydrator temperature and pressure at various conditions without opting for any experimental trials. In particular, engineers would find the approaches to be user-friendly with transparent calculations involving no complex expressions.