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146 results on '"AlAmeri, Waleed"'

2. CNN-Transfer Learning-Based Prediction for Porosity and Absolute Permeability from Carbonate Rock Images

Author

Kalule, Ramanzani, Abderrahmane, Hamid Ait, Alameri, Waleed, Sassi, Mohamed, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Çiner, Attila, editor, Naitza, Stefano, editor, Radwan, Ahmed E., editor, Hamimi, Zakaria, editor, Lucci, Federico, editor, Knight, Jasper, editor, Cucciniello, Ciro, editor, Banerjee, Santanu, editor, Chennaoui, Hasnaa, editor, Doronzo, Domenico M., editor, Candeias, Carla, editor, Rodrigo-Comino, Jesús, editor, Kalatehjari, Roohollah, editor, Shah, Afroz Ahmad, editor, Gentilucci, Matteo, editor, Panagoulia, Dionysia, editor, Chaminé, Helder I., editor, Barbieri, Maurizio, editor, and Ergüler, Zeynal Abiddin, editor

Published
2024
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42. Stacked ensemble machine learning for porosity and absolute permeability prediction of carbonate rock plugs.

Author

Kalule, Ramanzani, Abderrahmane, Hamid Ait, Alameri, Waleed, and Sassi, Mohamed

Subjects
CARBONATE rocks, MACHINE learning, PERMEABILITY, POROSITY, DRILL core analysis, DOLOMITE
Abstract

This study employs a stacked ensemble machine learning approach to predict carbonate rocks' porosity and absolute permeability with various pore-throat distributions and heterogeneity. Our dataset consists of 2D slices from 3D micro-CT images of four carbonate core samples. The stacking ensemble learning approach integrates predictions from several machine learning-based models into a single meta-learner model to accelerate the prediction and improve the model's generalizability. We used the randomized search algorithm to attain optimal hyperparameters for each model by scanning over a vast hyperparameter space. To extract features from the 2D image slices, we applied the watershed-scikit-image technique. We showed that the stacked model algorithm effectively predicts the rock's porosity and absolute permeability. [ABSTRACT FROM AUTHOR]

Published
2023
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