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Application of mechanical engineering to solve the problem of classification of oil well systems

Zayar Aung   (PhD student, National Research University "Moscow Power Engineering Institute")

Mikhailov I. S.  (candidate of technical Sciences, associate Professor, National Research University "Moscow Power Engineering Institute")

Ye ThuAung   (PhD student, National Research University "Moscow Power Engineering Institute")

the article deals with the application of the data mining method-the support vector machine (SVM) to solve the practical problem of evaluating the efficiency of oil wells. This nonlinear method shows better results than linear regression (LR), which is also a machine learning method. The paper presents and analyzes the principles of solving the classification problem using logistic regression methods and support vector machines. The accuracy of these two algorithms under the same conditions is calculated and compared in experiments.

Keywords:machine learning; data mining; support vector machine; oil wells.
 

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Citation link:
Zayar A. , Mikhailov I. S., Ye T. Application of mechanical engineering to solve the problem of classification of oil well systems // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2020. -№01. -С. 69-77
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