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Initial estimation of hydrate formation temperature of sweet natural gases based on new empirical correlation

Journal of Natural Gas Chemistry 2012年第5期21卷 508-512页

作者： Mohammad Mahdi Ghiasi Petroleum University of Technology Ahwaz Faculty of PetroleumPost Box:63431AhwazIran

Production,processing and transportation of natural gases can be significantly affected by clathrate *** the gas analysis is crucial to predict the right conditions for hydrate ***,Katz gas gravity method can be used for initial estimation of hydrate formation temperature （HFT） under the circumstances of indeterminate gas *** far several correlations have been proposed for gas gravity method,in which the most accurate and reliable one has belonged to Bahadori and *** main objective of this study is to present a simple and yet accurate correlation for fast prediction of sweet natural gases HFT based on the fit to Katz gravity *** reviewing the error analysis results,one can discover that the new proposed correlation has the best estimation capability among the widely accepted existing correlations within the investigated range.

关键词： natural gas hydrates hydrate formation temperature gas gravity method empirical correlation

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Developing a robust correlation for prediction of sweet and sour gas hydrate formation temperature

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Petroleum 2022年第2期8卷 204-209页

作者： Mohammad Mesbah Samaneh Habibnia Shahin Ahmadi Amir Hossein Saeedi Dehaghani Sareh Bayat Young Researchers and Elites Club Science and Research BranchIslamic Azad UniversityTehranIran Department of Chemical Engineering Sahand University of TechnologyTabrizIran Department of Environmental Health Engineering Faculty of Environment Health EngineeringZabol University of Medical SciencesZabolIran Department of Petroleum Engineering Faculty of Chemical EngineeringTarbiat Modares UniversityTehranIran Department of Environmental Health Engineering School of Public HealthHamedan University of Medical SciencesHamedanIran

There are numerous correlations and thermodynamic models for predicting the natural gas hydrate formation condition but still the lack of a simple and unifying general model that addresses a broad ranges of gas *** study was aimed to develop a user-friendly universal correlation based on hybrid group method of data handling(GMDH)for prediction of hydrate formation temperature of a wide range of natural gas mixtures including sweet and sour *** establish the hybrid GMDH,the total experimental data of 343 were obtained from open *** selection of input variables was based on the hydrate structure formed by each gas *** modeling resulted in a strong algorithm since the squared correlation coefficient(R2)and root mean square error(RMSE)were 0.9721 and 1.2152,*** comparison to some conventional correlation,this model represented not only the outstanding statistical parameters but also its absolute superiority over *** particular,the result was encouraging for sour gases concentrated at H2S to the extent that the model outstrips all available thermodynamic models and *** statistical approach was applied on datasets to the discovery of the defected and doubtful experimental data and suitability of the *** to this algorithm,approximately all the data points were in the proper range of the model and the proposed hybrid GMDH model was statistically reliable.

关键词： hydrate formation temperature HFT Wide range of natural gas mixtures Unified correlation Group method of data handling GMDH Outlier detection

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Application of statistical learning theory for thermodynamic modeling of natural gas hydrates

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Petroleum 2021年第4期7卷 502-508页

作者： Anupama Kumari Mukund Madhaw C.B.Majumder Amit Arora Gaurav Dixit Department of Chemical Engineering Indian Institute of TechnologyRoorkeeIndia DHC Trading India Private LimitedDelhiIndia Department of Chemical Engineering Shaheed Bhagat Singh State UniversityFerozepurPunjabIndia Gas hydrate Research and Technology Centre PanvelMumbaiIndia

The gas hydrate formation in pipelines of industries and chemical plants can cause various operational damages and can increase economic ***,the knowledge of hydrate formation conditions has become a critical research study to overcome the problems arising from the formation of *** this study,we applied an algorithm to develop an LSSVM model to predict the formation temperature of natural gas hydrate for a comprehensive range of data *** 188 experimental data points were applied from the literature for the development of the LSSVM *** input parameter was finalized based on the structure of hydrates by each gas *** results obtained by the LSSVM model have good accuracy as compared with empirical correlations available in the *** model gave the squared correlation coefficient(R2),and root mean square error of 0.9901 and 0.59974,*** composition of gases may affect the phase equilibrium condition of gas *** applied algorithm revealed that the developed LSSVM model could become a good alternative for calculating the formation temperature of hydrate for the range of all data *** results showed that the proposed LSSVM model could be applicable for the prediction of hydrate formation temperature for all data points.

关键词： Gas hydrate LSSVM Correlation hydrate formation temperature

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