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The Implementation of Support Vector Machines for Solving in Oil Wells

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dc.contributor.author Aung, Zayar
dc.contributor.author Aung, Ye Thu
dc.contributor.author Sergeevich, Mihaylov Ilya
dc.contributor.author Linn, Phyo Wai
dc.date.accessioned 2021-01-31T13:52:21Z
dc.date.available 2021-01-31T13:52:21Z
dc.date.issued 2020-02-28
dc.identifier.uri https://onlineresource.ucsy.edu.mm/handle/123456789/2579
dc.description.abstract The article deals with the problem of timely forecasting and classification of problems that arise in the process of well construction remains relevant. It is necessary to create a new methodology that should help drilling personnel to make timely decisions about possible problems in the drilling process on the basis of real-time data analysis, which will increase efficiency and reduce drilling costs accordingly. en_US
dc.language.iso en en_US
dc.publisher Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020) en_US
dc.subject drilling complications en_US
dc.subject machine learning en_US
dc.subject neural network en_US
dc.subject efficiency improvement en_US
dc.subject gradient boosting en_US
dc.subject classification en_US
dc.title The Implementation of Support Vector Machines for Solving in Oil Wells en_US
dc.type Article en_US

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