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This study presents the potential of least squares support vector machines (LSSVM) modeling approaches to predict the moisture content of natural gas dried by calcium chloride dehydrator units. Genetic algorithm (GA) as population based stochastic search algorithms were applied to obtain the optimal LSSVM models parameters. The results revealed that the GA-LSSVM are capable of capturing the complex...
Natural gas is an extremely vital supply of energy. Compared to other fossil fuels, demand for natural gas is experiencing a considerable growth due to its accessibility, availability, versatility and smaller environmental footprint. Glycol dehydration is the most common and economic method of water removal from natural gas streams. The water content of the dehydrated gas depends primarily on the...
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