Výsledky vyhledávání - "Ilya S. Mikhaylov"

Implementation of the Neural Network for Solving the Problem of Regression of Controlled Parameters of Oil Wells

Autor: Ye Thu Aung, Myo Hlaing Win, Zin Min Lwin, Ilya S. Mikhaylov, Zayar Aung

Publikováno v: 2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::909437d4266d5a68724975b8492580c5
https://doi.org/10.1109/elconrus54750.2022.9755480

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Artificial Intelligence Methods Application in Oil Industry

Autor: Zayar Aung, Ilya S. Mikhaylov, Ye Thu Aung

Publikováno v: 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).

The article provides an overview of the methods of artificial intelligence — artificial neural networks and support vector machine, as well as the main areas of their application in the oil and gas sector. In this work three main areas of use of su

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aa75344d40c8d4d70cd485018257214b
https://doi.org/10.1109/eiconrus49466.2020.9039330

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Data Mining Algorithms for Solving Classification Problems

Autor: Ilya S. Mikhaylov, Ye Thu Aung, Zayar Aung

Publikováno v: 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).

The purpose of the work is to study the data mining existing approaches to solve the forecasting situations in oil wells problem based on their work parameters accumulated values. The various algorithms functioning were analyzed. From the data presen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f76291a74fef8d9699d926305067fad4
https://doi.org/10.1109/eiconrus49466.2020.9039386

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Application of Support Vector System for Solving Problems of Classification and Forecasting Of Oil Wells

Autor: Ilya S. Mikhaylov, Zayar Aung, Ye Thu Aung

Publikováno v: 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).

The article deals with the problem of timely forecasting and classification of problems that arise in the process of oil well operating. It is necessary to create a new methodology that should help technological personnel to make timely decisions abo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::35ccf31779c890ab84a558523f1bc024
https://doi.org/10.1109/eiconrus49466.2020.9039343

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