Machine learning approach in predicting water saturation using well data at “TM” Niger Delta

Machine learning approach in predicting water saturation using well data at “TM” Niger Delta

Accurate estimation of water saturation (Sw) is critical for hydrocarbon exploration reservoir management, as it reveals the proportion of pore spaces filled with hydrocarbons and water. Determining Sw could be challenging in the absence of core data or resistivity logs. This informed the use of mac...

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Bibliographic Details
Main Authors: Oluwakemi Y. Adeogun, Mukthar O. Abdulwaheed, Lukumon Adeoti, Olawale J. Allo, Olawunmi O. Fasakin, Oluwafemi O. Okunowo
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Scientific African
Subjects:
Water saturation
Machine learning
XGBoost
CatBoost
Gradient boosting
Niger Delta
Online Access:http://www.sciencedirect.com/science/article/pii/S2468227625000663
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