Title : ( Dehydration bed simulation for Parsian Gas Refinery to predict CO2 and H2S adsorption )
Authors: Amir Afshardoost , Mohammad Ali Fanaei Shykholeslami ,
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Abstract
In this article, Aspen Adsorption software is used to simulate the dehydration bed at the Parsian Gas Refinery for the purpose of predicting CO2 and H2S adsorption. This simulation is needed for creating a model that can predict the adsorption behavior of CO2 and H2S. As a result of the simulation, the results obtained for five key variables were checked and validated. It was found that the simulation results of four variables, including the mole fractions of carbon dioxide and hydrogen sulfide in adsorption outlet gas, the mole fraction of hydrogen sulfide in regeneration outlet gas, were fully in agreement with empirical data. However, the variable of carbon dioxide mole fraction in regeneration outlet gas did not completely match empirical data, although this was acceptable
Keywords
, Natural gas dehydration, CO2 and H2S Adsorption, Aspen Adsorption, Molecular sieve, Acid gases
@inproceedings{paperid:1092961,
author = {Afshardoost, Amir and Fanaei Shykholeslami, Mohammad Ali},
title = {Dehydration bed simulation for Parsian Gas Refinery to predict CO2 and H2S adsorption},
booktitle = {4th International Biennial Conference on Oil, Gas, and Petrochemical Engineering},
year = {2022},
location = {بوشهر, IRAN},
keywords = {Natural gas dehydration; CO2 and H2S Adsorption; Aspen Adsorption; Molecular sieve; Acid gases},
}
%0 Conference Proceedings
%T Dehydration bed simulation for Parsian Gas Refinery to predict CO2 and H2S adsorption
%A Afshardoost, Amir
%A Fanaei Shykholeslami, Mohammad Ali
%J 4th International Biennial Conference on Oil, Gas, and Petrochemical Engineering
%D 2022
