Prediction of sulfur solubility in supercritical sour gases using grey wolf optimizer-based support vector machine-Reference-Cited by-同舟云学术

Prediction of sulfur solubility in supercritical sour gases using grey wolf optimizer-based support vector machine

Published:2018-07 Issue: Volume:261 Page:431-438
ISSN:0167-7322
Container-title:Journal of Molecular Liquids
language:en
Short-container-title:Journal of Molecular Liquids

Author:

Bian Xiao-Qiang^ORCID,Zhang Lu,Du Zhi-Min,Chen Jing,Zhang Jian-Ye

Funder

National Natural Science Foundation of China

Southwest Petroleum University

Publisher

Elsevier BV

Subject

Materials Chemistry,Physical and Theoretical Chemistry,Spectroscopy,Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference47 articles.

1. Accurate prediction of H2S and CO2 containing sour gas hydrates formation conditions considering hydrolytic and hydrogen bonding association effect;Zarenezhad;Fluid Phase Equilib.,2013

2. Study aids prediction of sulphur deposition in sour-gas wells;Hyne;Oil Gas J.,1968

3. S8 threatens natural gas operations;Chesnoy;Oil Gas J.,1997

4. Equilibrium in the methane-carbon dioxide-hydrogen sulfide-sulfur system;Kennedy;AIME,1960

5. Solubility of sulfur in hydrogen sulfide and in carbon, disulfide at elevated temperature and pressure;Roof;SPE J.,1971

Cited by 49 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. Evaluation of regional green innovation performance in China using a support vector machine-based model optimized by the chaotic grey wolf algorithm;Clean Technologies and Environmental Policy;2024-05-16

2. Adsorption mechanism study of sour natural gas and sulfur in high-sulfur carbonate rock gas reservoirs;Gas Science and Engineering;2024-05

3. Sulfur solubility in sour gas components and mixtures from a molecular perspective;Fuel;2024-05

4. Multi-objective optimization of water-alternating flue gas process using machine learning and nature-inspired algorithms in a real geological field;Energy;2024-04

5. Evolving support vector regression based on improved grey wolf optimization for predicting settlement during construction of high-filled roadbed;Transportation Geotechnics;2024-03