Abdulazeez Abdulraheem

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 13

Top Topics

Petroleum Industry

Top Venues

Neural Comput. Appl.

J. Exp. Theor. Artif. Intell.

PAKDD Workshops

Comput. Intell. Neurosci.

Publications

Khalid L. Alsamadony, Ahmed Farid Ibrahim, Salaheldin Elkatatny, Abdulazeez Abdulraheem
Photoelectric factor prediction using automated learning and uncertainty quantification. Neural Comput. Appl. 35 (30) (2023)
Khalid L. Alsamadony, Ahmed Farid Ibrahim, Salaheldin Elkatatny, Abdulazeez Abdulraheem
Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification. CoRR (2022)
M. Elmuzafar Ahmed, Abdullah S. Sultan, Amjed Hassan, Abdulazeez Abdulraheem, Mohamed Mahmoud
Predicting the performance of constant volume depletion tests for gas condensate reservoirs using artificial intelligence techniques. Neural Comput. Appl. 34 (24) (2022)
Hany Gamal, Salaheldin Elkatatny, Ahmed Alsaihati, Abdulazeez Abdulraheem
Intelligent Prediction for Rock Porosity While Drilling Complex Lithology in Real Time. Comput. Intell. Neurosci. 2021 (2021)
Teslim Olayiwola, Zeeshan Tariq, Abdulazeez Abdulraheem, Mohamed Mahmoud
Evolving strategies for shear wave velocity estimation: smart and ensemble modeling approach. Neural Comput. Appl. 33 (24) (2021)
Abdulmalek Ahmed, Salaheldin Elkatatny, Abdulwahab Ali, Mahmoud Abughaban, Abdulazeez Abdulraheem
Application of Artificial Intelligence Techniques in Predicting the Lost Circulation Zones Using Drilling Sensors. J. Sensors 2020 (2020)
Ahmed Alsabaa, Hany Gamal, Salaheldin Elkatatny, Abdulazeez Abdulraheem
Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System. Sensors 20 (6) (2020)
Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem
An intelligent data-driven model for Dean-Stark water saturation prediction in carbonate rocks. Neural Comput. Appl. 32 (15) (2020)
Salaheldin Elkatatny, Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem, Ibrahim Mohamed
An integrated approach for estimating static Young's modulus using artificial intelligence tools. Neural Comput. Appl. 31 (8) (2019)
Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem
Core log integration: a hybrid intelligent data-driven solution to improve elastic parameter prediction. Neural Comput. Appl. 31 (12) (2019)
Salaheldin Elkatatny, Mohamed Mahmoud, Zeeshan Tariq, Abdulazeez Abdulraheem
New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network. Neural Comput. Appl. 30 (9) (2018)
Tarek Helmy, Muhammad Imtiaz Hossain, Abdulazeez Abdulraheem, S. M. Rahman, Md. Rafiul Hassan, Amar Khoukhi, Moustafa Elshafei
Prediction of non-hydrocarbon gas components in separator by using Hybrid Computational Intelligence models. Neural Comput. Appl. 28 (4) (2017)
Anifowose Fatai, Amar Khoukhi, Abdulazeez Abdulraheem
Investigating the effect of training-testing data stratification on the performance of soft computing techniques: an experimental study. J. Exp. Theor. Artif. Intell. 29 (3) (2017)
Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem
Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines. Appl. Soft Comput. 26 (2015)
Sunday Olusanya Olatunji, Ali Selamat, Abdulazeez Abdulraheem
A hybrid model through the fusion of type-2 fuzzy logic systems and extreme learning machines for modelling permeability prediction. Inf. Fusion 16 (2014)
Hasan A. Nooruddin, Anifowose Fatai, Abdulazeez Abdulraheem
Using soft computing techniques to predict corrected air permeability using Thomeer parameters, air porosity and grain density. Comput. Geosci. 64 (2014)
Anifowose Fatai, Suli Adeniye, Abdulazeez Abdulraheem
Recent advances in the application of computational intelligence techniques in oil and gas reservoir characterisation: a comparative study. J. Exp. Theor. Artif. Intell. 26 (4) (2014)
Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem
Predicting Petroleum Reservoir Properties from Downhole Sensor Data using an Ensemble Model of Neural Networks. MLSDA@AUS-AI (2013)
Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem
Ensemble model of Artificial Neural Networks with randomized number of hidden neurons. CITA (2013)
Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem
A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction. Neural Comput. Appl. 23 (Supplement-1) (2013)
Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem
Ensemble Learning Model for Petroleum Reservoir Characterization: A Case of Feed-Forward Back-Propagation Neural Networks. PAKDD Workshops (2013)
Anifowose Fatai, Jane Labadin, Abdulazeez Abdulraheem
A Hybrid of Functional Networks and Support Vector Machine models for the prediction of petroleum reservoir properties. HIS (2011)