Application of XGBoost model for in-situ water saturation determination in Canadian oil-sands by LF-NMR and density data

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Application of XGBoost model for in-situ water saturation determination in Canadian oil-sands by LF-NMR and density data

Water saturation determination is among the most challenging tasks in petrophysical well-logging, which directly impacts the decision-making process in hydrocarbon exploration and production. Low-field nuclear magnetic resonance (LF-NMR) measurements can provide reliable evaluation. However, quantif...

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Bibliographic Details
Main Authors:	Markovic, Strahinja, Bryan, J.L., Rezaee, Reza, Turakhanov, A., Cheremisin, A., Kantzas, A., Koroteev, D.
Format:	Journal Article
Language:	English
Published:	2022
Subjects:	Canada Magnetic Resonance Imaging Magnetic Resonance Spectroscopy Rapeseed Oil Sand
Online Access:	http://hdl.handle.net/20.500.11937/89526

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