Phase equilibrium modeling of semi-clathrate hydrates of the CO2+H2/CH4/N2+TBAB aqueous solution system

Mesbah, M ; Sharif University of Technology | 2017

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  1. Type of Document: Article
  2. DOI: 10.1080/10916466.2017.1322977
  3. Publisher: Taylor and Francis Inc , 2017
  4. Abstract:
  5. 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. © 2017 Taylor & Francis Group, LLC
  6. Keywords:
  7. Artificial neural networks ; CO2 capture ; Leverage approach ; Semi-clathrate hydrate ; TBAB
  8. Source: Petroleum Science and Technology ; Volume 35, Issue 15 , 2017 , Pages 1588-1594 ; 10916466 (ISSN)
  9. URL: https://www.tandfonline.com/doi/full/10.1080/10916466.2017.1322977