The Implementation of Support Vector Machines for Solving in Oil Wells

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