A Novel Multiagent Collaborative Learning Architecture for Automatic Recognition of Mudstone Rock Facies

A Novel Multiagent Collaborative Learning Architecture for Automatic Recognition of Mudstone Rock Facies

Recognizing mud rock lithofacies is essential for mapping the subsurface depositional environments and identifying oil and gas-bearing rock formations. Conventional well logs interpretation techniques are slow, costly and require high domain expertise. Machine learning (ML) techniques have been impl...

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Bibliographic Details
Main Authors: Saurabh Tewari, Arvind Prasad, Harsh Patel, Mueen Uddin, Taher Al-Shehari, Nasser A. Alsadhan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Data imbalance
resampling techniques
machine learning
stacked generalization
multiagent collaborative learning
Online Access:https://ieeexplore.ieee.org/document/10769432/
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https://ieeexplore.ieee.org/document/10769432/

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