Development of a SVM model for Prediction of Hydrocracking Product Yields
- Авторлар: Sharifi K.1, Safiri A.1, Asl M.H.1,2, Adib H.3, Nonahal B.1
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Мекемелер:
- Petroleum Refining Division, Research Institute of Petroleum Industry
- Department of Engineering, Senior Process Engineer, South Pars Gas Complex
- School of Chemical Engineering, Amirkabir University of Technology (Tehran Polytechnic)
- Шығарылым: Том 59, № 2 (2019)
- Беттер: 233-238
- Бөлім: Article
- URL: https://ogarev-online.ru/0965-5441/article/view/180772
- DOI: https://doi.org/10.1134/S0965544119020142
- ID: 180772
Дәйексөз келтіру
Аннотация
In this study Support Vector Machine (SVM) and Lump Kinetic Model was used to predict the hydrocracking products yield by using data which obtained from Tehran Refinery in Iran. The minimum calculated squared correlation coefficient and key parameters of SVM were used to evaluate the SVM performance. Output variables of SVM model were optimized for hydrocracking products. Kinetic parameter and mean squared error values for the 4-Lumped Kinetic models have been developed. Mean Squared Errors (MSE) of training set for Diesel, Naphtha and LPG were obtained 0.179, 0.116, and 0.174 and for testing set are 0.164, 0.148, and 0.132, respectively. It can be concluded that SVM can be used as a reliable and accurate estimation method with comparison between SVM data and Tehran refining unit. Such validated models may be regarded as valuable tools for process optimization, control, design, catalyst selection and provide a better insight into the process.
Негізгі сөздер
Авторлар туралы
K. Sharifi
Petroleum Refining Division, Research Institute of Petroleum Industry
Хат алмасуға жауапты Автор.
Email: sharifikh@ripi.ir
Иран, Tehran, P. O. Box 1485733111
A. Safiri
Petroleum Refining Division, Research Institute of Petroleum Industry
Email: sharifikh@ripi.ir
Иран, Tehran, P. O. Box 1485733111
M. Asl
Petroleum Refining Division, Research Institute of Petroleum Industry; Department of Engineering, Senior Process Engineer, South Pars Gas Complex
Email: sharifikh@ripi.ir
Иран, Tehran, P. O. Box 1485733111; Assaluyeh, P. O. Box 311/75391
H. Adib
School of Chemical Engineering, Amirkabir University of Technology (Tehran Polytechnic)
Email: sharifikh@ripi.ir
Иран, Tehran, 15914
B. Nonahal
Petroleum Refining Division, Research Institute of Petroleum Industry
Email: sharifikh@ripi.ir
Иран, Tehran, P. O. Box 1485733111
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