Development of explicit models to predict methane hydrate equilibrium conditions in pure water and brine solutions: A machine learning approach

Author:

Hosseini Mostafa,Leonenko Yuri

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference98 articles.

1. Thermodynamic features-driven machine learning-based predictions of clathrate hydrate equilibria in the presence of electrolytes;Acharya;Fluid Phase Equilib.,2021

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3. Clathrate nanocage reactor for the decomposition of greenhouse gas;Ahn;Chem. Eng. J.,2019

4. Design equations for prediction of pressuremeter soil deformation moduli utilizing expression programming systems;Alavi;Neural Comput. Appl.,2013

5. Prediction of hydrate formation temperature using gene expression programming;Amar;J. Nat. Gas Sci. Eng.,2021

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