Prediction of Gas and Refrigerant Hydrate Equilibrium Conditions With and Without Thermodynamic Inhibitors Using Simple Empirical Correlations

Clathrate hydrates (gas hydrates) are solid crystalline compounds formed from water molecules as host molecules and gas molecules as guest molecules. Due to the hydrogen bonds, water constructs a framework that entraps some small nonpolar molecules (typically gases) and in suitable conditions (i. e....

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Main Authors: maryam seif, arash kamran-pirzaman
Format: Article
Language:English
Published: Reaserch Institute of Petroleum Industry 2020-12-01
Series:Journal of Petroleum Science and Technology
Subjects:
Online Access:https://jpst.ripi.ir/article_1125_aae21c3dcc8e5cf4fff5ce0be96bae22.pdf
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author maryam seif
arash kamran-pirzaman
author_facet maryam seif
arash kamran-pirzaman
author_sort maryam seif
collection DOAJ
description Clathrate hydrates (gas hydrates) are solid crystalline compounds formed from water molecules as host molecules and gas molecules as guest molecules. Due to the hydrogen bonds, water constructs a framework that entraps some small nonpolar molecules (typically gases) and in suitable conditions (i. e. low temperature and high pressure) gas hydrate forms. The objective of this research is to estimate the gas and refrigerant hydrate dissociation conditions with and without alcohols and sodium chloride aqueous solutions using simple empirical correlations. Generally, the empirical suggested correlations to estimate the equilibrium clathrate hydrate pressure of CH4, C2H6, C3H8, CO2, N2, H2S, R22, R23, R134a, R116, R125a, R152a, R141b, R410a, R407c, R507c, CH4 + methanol, CH4 + ethylene glycol, CH4 + triethylene glycol, CH4 + ethanol, CH4 + sodium chloride, CO2 + methanol, CO2 + glycerol, CO2 + sodium chloride, R134a + sodium chloride, R507c + sodium chloride and R410a + sodium chloride systems are a function of equilibrium hydrate temperature and concentration. A genetic algorithm was employed as an optimization method to determine correlation coefficients, and the mean squared error was selected as its fitness function. Due to the low values of the calculated absolute average deviations (between 0.00 and 7.65), except for H2S + pure water with the highest amount of the absolute average deviation percent (AAD% equal to 11.51), these correlations are capable of predicting the studied hydrate dissociation conditions.
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spelling doaj.art-c7fee6dc4afb49c385df279c764510d72022-12-21T21:25:57ZengReaserch Institute of Petroleum IndustryJournal of Petroleum Science and Technology2251-659X2645-33122020-12-01104617210.22078/jpst.2020.4337.17001125Prediction of Gas and Refrigerant Hydrate Equilibrium Conditions With and Without Thermodynamic Inhibitors Using Simple Empirical Correlationsmaryam seif0arash kamran-pirzaman1Department of Chemical Engineering, Faculty of Engineering, University of Science and Technology of Mazandaran, Behshahr, Mazandaran, IranDepartment of Chemical Engineering, Faculty of Engineering, University of Science and Technology of Mazandaran, Behshahr, Mazandaran, IranClathrate hydrates (gas hydrates) are solid crystalline compounds formed from water molecules as host molecules and gas molecules as guest molecules. Due to the hydrogen bonds, water constructs a framework that entraps some small nonpolar molecules (typically gases) and in suitable conditions (i. e. low temperature and high pressure) gas hydrate forms. The objective of this research is to estimate the gas and refrigerant hydrate dissociation conditions with and without alcohols and sodium chloride aqueous solutions using simple empirical correlations. Generally, the empirical suggested correlations to estimate the equilibrium clathrate hydrate pressure of CH4, C2H6, C3H8, CO2, N2, H2S, R22, R23, R134a, R116, R125a, R152a, R141b, R410a, R407c, R507c, CH4 + methanol, CH4 + ethylene glycol, CH4 + triethylene glycol, CH4 + ethanol, CH4 + sodium chloride, CO2 + methanol, CO2 + glycerol, CO2 + sodium chloride, R134a + sodium chloride, R507c + sodium chloride and R410a + sodium chloride systems are a function of equilibrium hydrate temperature and concentration. A genetic algorithm was employed as an optimization method to determine correlation coefficients, and the mean squared error was selected as its fitness function. Due to the low values of the calculated absolute average deviations (between 0.00 and 7.65), except for H2S + pure water with the highest amount of the absolute average deviation percent (AAD% equal to 11.51), these correlations are capable of predicting the studied hydrate dissociation conditions.https://jpst.ripi.ir/article_1125_aae21c3dcc8e5cf4fff5ce0be96bae22.pdfgas hydraterefrigerant hydrateinhibitorequilibrium conditionsempirical correlationgenetic algorithm
spellingShingle maryam seif
arash kamran-pirzaman
Prediction of Gas and Refrigerant Hydrate Equilibrium Conditions With and Without Thermodynamic Inhibitors Using Simple Empirical Correlations
Journal of Petroleum Science and Technology
gas hydrate
refrigerant hydrate
inhibitor
equilibrium conditions
empirical correlation
genetic algorithm
title Prediction of Gas and Refrigerant Hydrate Equilibrium Conditions With and Without Thermodynamic Inhibitors Using Simple Empirical Correlations
title_full Prediction of Gas and Refrigerant Hydrate Equilibrium Conditions With and Without Thermodynamic Inhibitors Using Simple Empirical Correlations
title_fullStr Prediction of Gas and Refrigerant Hydrate Equilibrium Conditions With and Without Thermodynamic Inhibitors Using Simple Empirical Correlations
title_full_unstemmed Prediction of Gas and Refrigerant Hydrate Equilibrium Conditions With and Without Thermodynamic Inhibitors Using Simple Empirical Correlations
title_short Prediction of Gas and Refrigerant Hydrate Equilibrium Conditions With and Without Thermodynamic Inhibitors Using Simple Empirical Correlations
title_sort prediction of gas and refrigerant hydrate equilibrium conditions with and without thermodynamic inhibitors using simple empirical correlations
topic gas hydrate
refrigerant hydrate
inhibitor
equilibrium conditions
empirical correlation
genetic algorithm
url https://jpst.ripi.ir/article_1125_aae21c3dcc8e5cf4fff5ce0be96bae22.pdf
work_keys_str_mv AT maryamseif predictionofgasandrefrigeranthydrateequilibriumconditionswithandwithoutthermodynamicinhibitorsusingsimpleempiricalcorrelations
AT arashkamranpirzaman predictionofgasandrefrigeranthydrateequilibriumconditionswithandwithoutthermodynamicinhibitorsusingsimpleempiricalcorrelations