Neural network model and software for an information system to intelligently analyze gas quality
The problem of analyzing the quality of natural gas is solved by traditional methods of gas chromatography. The article proposes an alternative approach using neural networks. An automated information system to determine energy parameters of natural gas and its operation were studied. The system testing was conducted on experimental data obtained from real gas mixtures in laboratory conditions. The gas quality indicators were calculated and the conclusion about system applicability was drawn. The developed mathematics and software allow to provide high performance for the information system in important cases where gas properties can change quickly and constant monitoring is required. Based on experimental results, an algorithmic solution was proposed for natural gas quality analysis, that allows to obtain necessary data with lower time and financial costs. Contribution of the authors: the authors contributed equally to this article. The authors declare no conflicts of interests.
Keywords
natural gas quality analysis,
assessment of analysis system accuracy,
automated information systemAuthors
| Farkhadov Mais P. | V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences | mais@ipu.ru |
| Vaskovskii Sergei V. | V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences | vask@ipu.ru |
| Brokarev Ivan A. | Russian State University of Oil and Gas (National Research University) named after I.M. Gubkin | brokarev.i@gubkin.ru |
Всего: 3
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