Integrating petrophysical data into efficient iterative cluster analysis for electrofacies identification in clastic reservoirs

Efficient iterative unsupervised machine learning involving probabilistic clustering analysis with the expectation-maximization (EM) clustering algorithm is applied to categorize reservoir facies by exploiting latent and observable well-log variables from a clastic reservoir in the Majnoon oilfield,...

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Bibliographic Details
Main Authors: Mohammed A. Abbas, Watheq J. Al-Mudhafar, Aqsa Anees, David A. Wood
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-10-01
Series:Energy Geoscience
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666759224000568
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