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

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

Internet

http://hdl.handle.net/20.500.11937/89526

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