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Development of a least squares support vector machine model for prediction of natural gas hydrate formation temperature

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中国化学工程学报：英文版 2017年第9期25卷 1238-1248页

作者： Mohammad Mesbah Ebrahim Soroush Mashallah Rezakazemi Young Researchers and Elites Club Science and Research Branch Islamic Azad University Young Researchers and Elites Club Ahvaz Branch Islamic Azad University Department of Chemical Engineering Shahrood University of Technology

Hydrates always are considered as a threat to petroleum industry due to the operational problems it can *** problems could result in reducing production performance or even production stoppage for a long *** this paper, we were intended to develop a LSSVM algorithm for prognosticating hydrate formation temperature(HFT) in a wide range of natural gas mixtures. A total number of 279 experimental data points were extracted from open literature to develop the LSSVM. The input parameters were chosen based on the hydrate structure that each gas species form. The modeling resulted in a robust algorithm with the squared correlation coefficients(R^2) of 0.9918. Aside from the excellent statistical parameters of the model, comparing proposed LSSVM with some of conventional correlations showed its supremacy, particularly in the case of sour gases with high H_2S concentrations, where the model surpasses all correlations and existing thermodynamic models. For detection of the probable doubtful experimental data, and applicability of the model, the leverage statistical approach was performed on the data sets. This algorithm showed that the proposed LSSVM model is statistically valid for HFT prediction and almost all the data points are in the applicability domain of the model.

关键词： Hydrate formation temperature(HFT) Natural gas Sour gases Least squares support vector machine Outlier diagnostics leverage approach

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A statistical method for assessment of the existing correlations of hydrate forming conditions

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Journal of Energy Chemistry 2015年第1期24卷 93-100页

作者： Javad Sayyad Amin Somayye Nikkhah Mehdi Veiskarami Department of Chemical Engineering University of GuilanRasht 41996-13769 Iran Department of Civil Engineering University of Guilan Rasht 41996-13769 Iran Department of Civil and Environmental Engineering School of Engineering (No.1) Shiraz University Shiraz 71348-51156 Iran

Hydrate formation in the oil and gas industries has been a serious problem for a long time. It may cause many difficulties for instance in gas pipelines blockages. In order to determine the hydrate forming condition, gas gravity method has been used. Several correlations have been proposed based on gas gravity method. Checking the accuracy of the applied correlations is important. In this paper, the leverage approach is used for this purpose. leverage approach is a statistical method for detection outliers which identifies the applicability domain （AD） of hydrate data predicting correlations and the quality of the existing data. Moreover, the Williams plot is sketched, which is a graphical depiction for determination of the doubtful points. The obtained results showed the existing correlations are all statistically correct and valid to predict hydrate formation temperature, just one data point is out of the applicability domains, and none of the experimental data can be chosen as outliers.

关键词： hydrate formation conditions gas gravity method leverage approach outlier detection

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