A Novel Empirical and Deep Ensemble Super Learning Approach in Predicting Reservoir Wettability via Well Logs

A Novel Empirical and Deep Ensemble Super Learning Approach in Predicting Reservoir Wettability via Well Logs

Accurately measuring wettability is of the utmost importance because it influences several reservoir parameters while also impacting reservoir potential, recovery, development, and management plan. As such, this study proposes a new formulated mathematical model based on the correlation between the...

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Bibliographic Details
Main Authors: Daniel Asante Otchere, Mohammed Abdalla Ayoub Mohammed, Tarek Omar Arbi Ganat, Raoof Gholami, Zulkifli Merican Aljunid Merican
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
surface wettability
empirical formula
NMR characterisation
artificial intelligence
water saturation
deep neural network
Online Access:https://www.mdpi.com/2076-3417/12/6/2942

Internet

https://www.mdpi.com/2076-3417/12/6/2942

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