Application of Machine Learning Methods to Assess Filtration Properties of Host Rocks of Uranium Deposits in Kazakhstan

Application of Machine Learning Methods to Assess Filtration Properties of Host Rocks of Uranium Deposits in Kazakhstan

The uranium required for power plants is mainly extracted by two methods in roughly equal amounts: quarries (underground and open pit) and in situ leaching (ISL). Uranium mining by in situ leaching is extremely attractive because it is economical and has a minimal impact on the region’s ecology. The...

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Bibliographic Details
Main Authors: Yan Kuchin, Ravil Mukhamediev, Nadiya Yunicheva, Adilkhan Symagulov, Kirill Abramov, Elena Mukhamedieva, Elena Zaitseva, Vitaly Levashenko
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
uranium mining
machine learning
regression model
filtration characteristics
boosting
bagging
Online Access:https://www.mdpi.com/2076-3417/13/19/10958

Internet

https://www.mdpi.com/2076-3417/13/19/10958

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