19 research outputs found
Micro- and nanoporous materials capable of absorbing solvents and oils reversibly: the state of the art
Get PDFIntelligent prediction of aliphatic and aromatic hydrocarbons in Caspian Sea sediment using a neural network based on particle swarm optimization
No full textModelling of CO2 capture and separation from different gas mixtures using semiclathrate hydrates
No full textIn this work we present a model for predicting hydrate formation condition to separate carbon dioxide (CO2) from different gas mixtures such as fuel gas (H2+CO2), flue gas (N2+CO2), and biogas gas (CH4+CO2) in the presence of different promoters such as tetra-n-butylammonium bromide (TBAB), tetra-n-butylammonium chloride (TBAC), tetra-n-butylammonium fluoride (TBAF), tetra-n-butyl ammonium nitrate (TBANO3), and tetra-n-butylphosphonium bromide (TBPB). The proposed method was optimized by genetic algorithm. In the proposed model, hydrate formation pressure is a function of temperature and a new variable in term of Z, which used to cover different concentrations of studied systems. The study shows experimental data and predicted values are in acceptable agreement
A new empirical correlation for prediction of carbon dioxide separation from different gas mixtures
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Asphaltene Deposition in Carbonate Rocks: Experimental Investigation and Numerical Simulation
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Effect of Resins on Asphaltene Deposition and the Changes of Surface Properties at Different Pressures: A Microstructure Study
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