| ITI əməkdaşlarının elmi işləri - tezis |
| Biblioqrafik təsvir | |
| Imamverdiyev , Y.N. Implementation of support vector machines for prediction of PVT properties in crude oil systems / Y.N. Imamverdiyev , M.S. Hajirahimova // XIV Международной научно технической конференции "Оптико-элэктронные приборы и устройства в системах распознавания образов, обработки изображений (Распознавание-2018). - , 2018. - P. 25-28. | |
| Annotasiya | |
| For the development of advanced strategies of the oil reservoir, the importance of the accurate prediction of the PVT (pressure-volumetemperature) features is great. .In the paper, Support Vector Regression (SVR) machine learning method is used for the prediction of Pb which is one of the most important parameter of Pressure-Volume-Temperature (PVT) properties in oil fields. | |
| Elektron variant | |
| Elektron variant |
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