Forecasting PVT Correlations of Crude Oil Systems Using Type1 Fuzzy Logic Inference Systems. - Emad A. El-Sebakhy; Abdulazeez Abdulraheem; Motaz Ahmed (IICAI, 2007)

Modeling PVT Properties of Crude Oil Systems Using Type-2 Fuzzy Logic Systems. - Sunday Olusanya Olatunji; Ali Selamat; Abdul Azeez Abdul Raheem (ICCCI (1), 2010)

A Hybrid of Functional Networks and Support Vector Machine models for the prediction of petroleum reservoir properties. - Anifowose Fatai; Jane Labadin; Abdulazeez Abdulraheem (HIS, 2011)

Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems. - Sunday Olusanya Olatunji; Ali Selamat; Abdul Azeez Abdul Raheem (Comput. Ind., 2011)

Modeling the correlations of crude oil properties based on sensitivity based linear learning method. - Sunday Olusanya Olatunji; Ali Selamat; Abdul Azeez Abdul Raheem; Sigeru Omatu 001 (Eng. Appl. Artif. Intell., 2011)

Predicting correlations properties of crude oil systems using type-2 fuzzy logic systems. - Sunday Olusanya Olatunji; Ali Selamat; Abdul Azeez Abdul Raheem (Expert Syst. Appl., 2011)

Modeling PVT Properties of Crude Oil Systems Based on Type-2 Fuzzy Logic Approach and Sensitivity Based Linear Learning Method. - Ali Selamat; Sunday Olusanya Olatunji; Abdul Azeez Abdul Raheem (ICCCI (1), 2012)

A Hybrid Model through the Fusion of Type-2 Fuzzy Logic Systems and Sensitivity-Based Linear Learning Method for Modeling PVT Properties of Crude Oil Systems. - Ali Selamat; Sunday Olusanya Olatunji; Abdul Azeez Abdul Raheem (Adv. Fuzzy Syst., 2012)

Functional networks as a new data mining predictive paradigm to predict permeability in a carbonate reservoir. - Emad A. El-Sebakhy; Ognian Asparouhov; Abdulazeez Abdulraheem; Abdulaziz Al-Majed; Donghui Wu; Kris Latinski; Iputu Raharja (Expert Syst. Appl., 2012)

Predicting Petroleum Reservoir Properties from Downhole Sensor Data using an Ensemble Model of Neural Networks. - Anifowose Fatai; Jane Labadin; Abdulazeez Abdulraheem (MLSDA@AUS-AI, 2013)

Ensemble model of Artificial Neural Networks with randomized number of hidden neurons. - Anifowose Fatai; Jane Labadin; Abdulazeez Abdulraheem (CITA, 2013)

Ensemble Learning Model for Petroleum Reservoir Characterization: A Case of Feed-Forward Back-Propagation Neural Networks. - Anifowose Fatai; Jane Labadin; Abdulazeez Abdulraheem (PAKDD Workshops, 2013)

A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction. - Anifowose Fatai; Jane Labadin; Abdulazeez Abdulraheem (Neural Comput. Appl., 2013)

Improved sensitivity based linear learning method for permeability prediction of carbonate reservoir using interval type-2 fuzzy logic system. - Sunday Olusanya Olatunji; Ali Selamat; Abdul Azeez Abdul Raheem (Appl. Soft Comput., 2014)

Using soft computing techniques to predict corrected air permeability using Thomeer parameters, air porosity and grain density. - Hasan A. Nooruddin; Anifowose Fatai; Abdulazeez Abdulraheem (Comput. Geosci., 2014)

A hybrid model through the fusion of type-2 fuzzy logic systems and extreme learning machines for modelling permeability prediction. - Sunday Olusanya Olatunji; Ali Selamat; Abdulazeez Abdulraheem (Inf. Fusion, 2014)

Recent advances in the application of computational intelligence techniques in oil and gas reservoir characterisation: a comparative study. - Anifowose Fatai; Suli C. Adeniye; Abdulazeez Abdulraheem (J. Exp. Theor. Artif. Intell., 2014)

Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines. - Anifowose Fatai; Jane Labadin; Abdulazeez Abdulraheem (Appl. Soft Comput., 2015)

A Novel Homogenous Hybridization Scheme for Performance Improvement of Support Vector Machines Regression in Reservoir Characterization. - Kabiru O. Akande; Taoreed Olakunle Owolabi; Sunday Olusanya Olatunji; Abdul Azeez Abdul Raheem (Appl. Comput. Intell. Soft Comput., 2016)

Investigating the effect of training-testing data stratification on the performance of soft computing techniques: an experimental study. - Anifowose Fatai; Amar Khoukhi; Abdulazeez Abdulraheem (J. Exp. Theor. Artif. Intell., 2017)

Prediction of non-hydrocarbon gas components in separator by using Hybrid Computational Intelligence models. - Tarek Helmy; Muhammad Imtiaz Hossain; Abdulazeez Abdulraheem; S. M. Rahman; Md. Rafiul Hassan; Amar Khoukhi; Moustafa Elshafei (Neural Comput. Appl., 2017)

New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network. - Salaheldin Elkatatny; Mohamed Mahmoud; Zeeshan Tariq; Abdulazeez Abdulraheem (Neural Comput. Appl., 2018)

An integrated approach for estimating static Young's modulus using artificial intelligence tools. - Salaheldin Elkatatny; Zeeshan Tariq; Mohamed Mahmoud; Abdulazeez Abdulraheem; Ibrahim Mohamed (Neural Comput. Appl., 2019)

Core log integration: a hybrid intelligent data-driven solution to improve elastic parameter prediction. - Zeeshan Tariq; Mohamed Mahmoud; Abdulazeez Abdulraheem (Neural Comput. Appl., 2019)

Application of Artificial Intelligence Techniques in Predicting the Lost Circulation Zones Using Drilling Sensors. - Abdulmalek Ahmed; Salaheldin Elkatatny; Abdulwahab Ali; Mahmoud Abughaban; Abdulazeez Abdulraheem (J. Sensors, 2020)

An intelligent data-driven model for Dean-Stark water saturation prediction in carbonate rocks. - Zeeshan Tariq; Mohamed Mahmoud; Abdulazeez Abdulraheem (Neural Comput. Appl., 2020)

Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System. - Ahmed Alsabaa; Hany Gamal; Salaheldin Elkatatny; Abdulazeez Abdulraheem (Sensors, 2020)

Intelligent Prediction for Rock Porosity While Drilling Complex Lithology in Real Time. - Hany Gamal; Salaheldin Elkatatny; Ahmed Alsaihati; Abdulazeez Abdulraheem (Comput. Intell. Neurosci., 2021)

Evolving strategies for shear wave velocity estimation: smart and ensemble modeling approach. - Teslim Olayiwola; Zeeshan Tariq; Abdulazeez Abdulraheem; Mohamed Mahmoud (Neural Comput. Appl., 2021)

Predicting the performance of constant volume depletion tests for gas condensate reservoirs using artificial intelligence techniques. - M. Elmuzafar Ahmed; Abdullah S. Sultan; Amjed Hassan; Abdulazeez Abdulraheem; Mohamed Mahmoud (Neural Comput. Appl., 2022)

Photoelectric factor prediction using automated learning and uncertainty quantification. - Khalid L. Alsamadony; Ahmed Farid Ibrahim; Salaheldin Elkatatny; Abdulazeez Abdulraheem (Neural Comput. Appl., 2023)

Rainfall Prediction Using Integrated Machine Learning Models With K-Means Clustering: A Representative Case Study of Harirud Murghab Basin-Afghanistan. - Ziaul Haq Doost; Ali Alsuwaiyan; Abdulazeez Abdulraheem; Ahmed M. Al-Areeq; Zaher Mundher Yaseen (IEEE Access, 2025)

An artificial intelligence approach for predicting water-filled porosity and water saturation for carbonate reservoirs using conventional well logs. - Ali Oshaish; Abdulazeez Abdulraheem; Amjed Hassan; Ammar El-Husseiny; Mohamed Mahmoud (Neural Comput. Appl., 2025)