%0 Journal Article
%T Data-Driven Modelling of Natural Gas Dehydrators for Dew Point Determination
%J -
%D 2017
%X The presence of water in natural gas stream is a recurring problem that the oil and gas industry have been dealing with over the years. Failure to remove water vapor from natural gas stream leads to the formation of hydrates and corrosion of critical facilities. Determination of natural gas dew point which is the temperature at which water vapor condenses out of natural gas is a tricky endeavor, hence there is need to explore modern and more effective ways of determining the dew point. In this research, data driven modeling technique is utilized to generate an expression for the Dew Point of a Natural Gas stream exiting a Molecular Sieve Dehydrator Bed. After data quality analysis, various model structures were utilized for modeling. The Autoregressive Moving Average with exogenous inputs model proved its suitability for predicting the plant output with a highest level of accuracy.
%K Data-Driven Modeling
%K Dehydrator
%K Natural Gas
%K Dew Point
%U http://www.sciencepublishinggroup.com/journal/paperinfo?journalid=268&doi=10.11648/j.ogce.20170503.11