Hybrid modeling approach for natural gas desulfurization process: Coupling mechanism and data modeling via compact variable identification-Reference-Cited by-同舟云学术

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Hybrid modeling approach for natural gas desulfurization process: Coupling mechanism and data modeling via compact variable identification

Published:2024-03 Issue: Volume:123 Page:205243
ISSN:2949-9089
Container-title:Gas Science and Engineering
language:en
Short-container-title:Gas Science and Engineering

Author:

Jiang Wei,Li Zhuoxiang,Kang Xi,Luo Lei,Zhou Yinjie,Liu Qisong,Liu Ke,Ji Xu,He Ge^ORCID

Publisher

Elsevier BV

Reference49 articles.

1. Support Vector Machine based modeling of an industrial natural gas sweetening plant;Adib;J. Nat. Gas Sci. Eng.,2013

2. Evolving a prediction model based on machine learning approach for hydrogen sulfide removal from sour condensate of south pars natural gas processing plant;Adib;J. Nat. Gas Sci. Eng.,2015

3. Integrating the physics with data analytics for the hybrid modeling of the granulation process;AlAlaween;AIChE J.,2017

4. Simulation study of sweetening and dehydration of natural gas stream using MEG solution;Alnili;Can. J. Chem. Eng.,2018

5. Feature selection using joint mutual information maximisation;Bennasar;Expert Syst. Appl.,2015

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1. Catalytic hydrolysis of methyl mercaptan and methyl thioether on hydroxyl-modified ZrO₂: a density functional theory study;RSC Advances;2024

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