USING SUPERVISED MACHINE LEARNING ALGORITHMS FOR KICK DETECTION DURING MANAGED PRESSURE DRILLING

USING SUPERVISED MACHINE LEARNING ALGORITHMS FOR KICK DETECTION DURING MANAGED PRESSURE DRILLING

Link for citation: Shcherbakov R.E., Kovalev A.V., Ilin A.V. Using supervised machine learning algorithms for kick detection during managed pressure drilling. Bulletin of the Tomsk Polytechnic University. Geo Аssets Engineering, 2023, vol. 334, no. 8, рр. 151-163. In Rus. The relevance. The deple...

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Bibliographic Details
Main Authors: Roman E. Shcherbakov, Artem V. Kovalev, Andrey V. Ilin
Format: Article
Language:Russian
Published: Tomsk Polytechnic University 2023-08-01
Series:Известия Томского политехнического университета: Инжиниринг георесурсов
Subjects:
Kick detection
machine learning
multivariate-sensing time-series
anomaly detection
managed pressure drilling
Online Access:http://izvestiya.tpu.ru/archive/article/view/4125

Internet

http://izvestiya.tpu.ru/archive/article/view/4125

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