Application of LS-SVM strategy to estimate H2S loading capacity in different ionic liquids and alkanolamines-Reference-Cited by-同舟云学术

Application of LS-SVM strategy to estimate H2S loading capacity in different ionic liquids and alkanolamines

Published:2017-06-03 Issue:11 Volume:35 Page:1117-1123
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Fattahi Maryam¹,Abedini Hassan²,Baghban Alireza³,Anbaz Mohammad Amin²

Affiliation:

1. National Iranian Gas Company, Tehran, Iran

2. Department of Petroleum Engineering, Petroleum University of Technology (PUT), Ahwaz, Iran

3. Young Researcher and Elite Club, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2017.1310881

Reference31 articles.

1. Model of vapor-liquid equilibria for aqueous acid gas-alkanolamine systems. 2. Representation of hydrogen sulfide and carbon dioxide solubility in aqueous MDEA and carbon dioxide solubility in aqueous mixtures of MDEA with MEA or DEA

2. Prediction of CO 2 loading capacities of aqueous solutions of absorbents using different computational schemes

3. Rigorous modeling of CO 2 equilibrium absorption in ionic liquids

4. CO2 Capture by a Task-Specific Ionic Liquid

5. Solubility of CO2 in the solvent system (water+monoethanolamine+triethanolamine)

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of ionic conductivity of imidazolium-based ionic liquids at different temperatures using multiple linear regression and support vector machine algorithms;New Journal of Chemistry;2021

2. A review on machine learning algorithms for the ionic liquid chemical space;Chemical Science;2021

3. Machine learning approaches to understand and predict rate constants for organic processes in mixtures containing ionic liquids;Physical Chemistry Chemical Physics;2021

4. A pattern recognition modeling approach based on the intelligent ensemble classifier: Application to identification and appraisal of water-flooded layers;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2018-10-10

5. On prediction of asphaltene precipitation in different operational conditions utilization of LSSVM algorithm;Petroleum Science and Technology;2018-05-15