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

Abstract 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...

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Bibliographic Details
Main Authors: Strahinja Markovic, Jonathan L. Bryan, Reza Rezaee, Aman Turakhanov, Alexey Cheremisin, Apostolos Kantzas, Dmitry Koroteev
Format: Article
Language:English
Published: Nature Portfolio 2022-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-17886-6

Internet

https://doi.org/10.1038/s41598-022-17886-6

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