Phase equilibrium modeling of semi-clathrate hydrates of the CO2+H2/CH4/N2+TBAB aqueous solution system
- 3 August 2017
- journal article
- research article
- Published by Taylor & Francis in Petroleum Science and Technology
- Vol. 35 (15) , 1588-1594
Abstract
In this study, the semi-clathrate hydrate dissociation pressure for the CO2+N2, CO2+H2, CO2+CH4, and pure CO2 systems in the presence of different concentrations of TBAB aqueous solutions is predicted using a strong machine learning technique of multi-layer perceptron neural network (MLP-NN). The developed model, with an overall correlation coefficient (R2) of 0.9961 and mean square error (MSE) of 5.96E−02, presented an excellent accuracy in prognosticating experimental data. A complete statistical evaluation performed to promise the strength and generality of the multi-layer perceptron artificial neural network (MLP-ANN). In addition, the applicability of the proposed network and quality of experimental data was assessed through the Leverage approach.Keywords
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