Abdulazeez Abdulraheem

26 papers C 1Journal 21Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An artificial intelligence approach for predicting water-filled porosity and water saturation for carbonate reservoirs using conventional well logs. Neural Comput. Appl. Ali Oshaish, Abdulazeez Abdulraheem, Amjed Hassan, Ammar El-Husseiny, Mohamed Mahmoud
2025	J	`jnl`	Rainfall Prediction Using Integrated Machine Learning Models With K-Means Clustering: A Representative Case Study of Harirud Murghab Basin-Afghanistan. IEEE Access Ziaul Haq Doost, Ali Alsuwaiyan, Abdulazeez Abdulraheem, Ahmed M. Al-Areeq, Zaher Mundher Yaseen
2023	J	`jnl`	Photoelectric factor prediction using automated learning and uncertainty quantification. Neural Comput. Appl. Khalid L. Alsamadony, Ahmed Farid Ibrahim, Salaheldin Elkatatny, Abdulazeez Abdulraheem
2022	J	`jnl`	Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification. CoRR Khalid L. Alsamadony, Ahmed Farid Ibrahim, Salaheldin Elkatatny, Abdulazeez Abdulraheem
2022	J	`jnl`	Predicting the performance of constant volume depletion tests for gas condensate reservoirs using artificial intelligence techniques. Neural Comput. Appl. M. Elmuzafar Ahmed, Abdullah S. Sultan, Amjed Hassan, Abdulazeez Abdulraheem, Mohamed Mahmoud
2021	J	`jnl`	Evolving strategies for shear wave velocity estimation: smart and ensemble modeling approach. Neural Comput. Appl. Teslim Olayiwola, Zeeshan Tariq, Abdulazeez Abdulraheem, Mohamed Mahmoud
2021	J	`jnl`	Intelligent Prediction for Rock Porosity While Drilling Complex Lithology in Real Time. Comput. Intell. Neurosci. Hany Gamal, Salaheldin Elkatatny, Ahmed Alsaihati, Abdulazeez Abdulraheem
2020	J	`jnl`	An intelligent data-driven model for Dean-Stark water saturation prediction in carbonate rocks. Neural Comput. Appl. Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem
2020	J	`jnl`	Application of Artificial Intelligence Techniques in Predicting the Lost Circulation Zones Using Drilling Sensors. J. Sensors Abdulmalek Ahmed, Salaheldin Elkatatny, Abdulwahab Ali, Mahmoud Abughaban, Abdulazeez Abdulraheem
2020	J	`jnl`	Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System. Sensors Ahmed Alsabaa, Hany Gamal, Salaheldin Elkatatny, Abdulazeez Abdulraheem
2019	J	`jnl`	An integrated approach for estimating static Young's modulus using artificial intelligence tools. Neural Comput. Appl. Salaheldin Elkatatny, Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem, Ibrahim Mohamed
2019	J	`jnl`	Core log integration: a hybrid intelligent data-driven solution to improve elastic parameter prediction. Neural Comput. Appl. Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem
2018	J	`jnl`	New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network. Neural Comput. Appl. Salaheldin Elkatatny, Mohamed Mahmoud, Zeeshan Tariq, Abdulazeez Abdulraheem
2017	J	`jnl`	Investigating the effect of training-testing data stratification on the performance of soft computing techniques: an experimental study. J. Exp. Theor. Artif. Intell. Anifowose Fatai, Amar Khoukhi, Abdulazeez Abdulraheem
2017	J	`jnl`	Prediction of non-hydrocarbon gas components in separator by using Hybrid Computational Intelligence models. Neural Comput. Appl. Tarek Ahmed Helmy, Muhammad Imtiaz Hossain, Abdulazeez Abdulraheem, S. M. Rahman, Md. Rafiul Hassan, Amar Khoukhi, Moustafa Elshafei
2015	J	`jnl`	Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines. Appl. Soft Comput. Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem
2014	J	`jnl`	A hybrid model through the fusion of type-2 fuzzy logic systems and extreme learning machines for modelling permeability prediction. Inf. Fusion Sunday Olusanya Olatunji, Ali Selamat, Abdulazeez Abdulraheem
2014	J	`jnl`	Recent advances in the application of computational intelligence techniques in oil and gas reservoir characterisation: a comparative study. J. Exp. Theor. Artif. Intell. Anifowose Fatai, Suli C. Adeniye, Abdulazeez Abdulraheem
2014	J	`jnl`	Using soft computing techniques to predict corrected air permeability using Thomeer parameters, air porosity and grain density. Comput. Geosci. Hasan A. Nooruddin, Anifowose Fatai, Abdulazeez Abdulraheem
2013	J	`jnl`	A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction. Neural Comput. Appl. Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem
2013	—	`conf`	Ensemble Learning Model for Petroleum Reservoir Characterization: A Case of Feed-Forward Back-Propagation Neural Networks. PAKDD Workshops Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem
2013	—	`conf`	Ensemble model of Artificial Neural Networks with randomized number of hidden neurons. CITA Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem
2013	—	`conf`	Predicting Petroleum Reservoir Properties from Downhole Sensor Data using an Ensemble Model of Neural Networks. MLSDA@AUS-AI Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem
2012	J	`jnl`	Functional networks as a new data mining predictive paradigm to predict permeability in a carbonate reservoir. Expert Syst. Appl. Emad A. El-Sebakhy, Ognian Asparouhov, Abdulazeez Abdulraheem, Abdulaziz Al-Majed, Donghui Wu, Kris Latinski, Iputu Raharja
2011	C	`conf`	A Hybrid of Functional Networks and Support Vector Machine models for the prediction of petroleum reservoir properties. HIS Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem
2007	—	`conf`	Forecasting PVT Correlations of Crude Oil Systems Using Type1 Fuzzy Logic Inference Systems. IICAI Emad A. El-Sebakhy, Abdulazeez Abdulraheem, Motaz Ahmed