Name
Affiliation
Papers
ABDUL-AZEEZ ABDULRAHEEM
Center of Petroleum and Minerals, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
21
Collaborators
Citations 
PageRank 
30
51
8.75
Referers 
Referees 
References 
110
324
225
Search Limit
100324
Title
Citations
PageRank
Year
Predicting the performance of constant volume depletion tests for gas condensate reservoirs using artificial intelligence techniques.00.342022
Evolving strategies for shear wave velocity estimation: smart and ensemble modeling approach00.342021
Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System.10.412020
An intelligent data-driven model for Dean-Stark water saturation prediction in carbonate rocks.00.342020
Core log integration: a hybrid intelligent data-driven solution to improve elastic parameter prediction00.342019
An integrated approach for estimating static Young’s modulus using artificial intelligence tools10.352019
New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network.30.422018
Prediction of non-hydrocarbon gas components in separator by using Hybrid Computational Intelligence models.30.402017
Investigating the effect of training-testing data stratification on the performance of soft computing techniques: an experimental study.00.342017
Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines.60.472015
Using soft computing techniques to predict corrected air permeability using Thomeer parameters, air porosity and grain density30.402014
A hybrid model through the fusion of type-2 fuzzy logic systems and extreme learning machines for modelling permeability prediction.20.612014
Ensemble Learning Model for Petroleum Reservoir Characterization: A Case of Feed-Forward Back-Propagation Neural Networks.10.362013
Ensemble model of Artificial Neural Networks with randomized number of hidden neurons10.362013
Predicting Petroleum Reservoir Properties from Downhole Sensor Data using an Ensemble Model of Neural Networks10.362013
A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction.60.512013
Functional networks as a new data mining predictive paradigm to predict permeability in a carbonate reservoir100.712012
Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems100.622011
A Hybrid of Functional Networks and Support Vector Machine models for the prediction of petroleum reservoir properties.20.362011
Support Vector Regression And Functional Networks For Viscosity And Gas/Oil Ratio Curves Estimation00.342011
Neural network aided design of oil production units.10.382010