Abdul Azeez Abdul Raheem
Orcid: 0000-0002-9994-4436
According to our database1,
Abdul Azeez Abdul Raheem
authored at least 31 papers
between 2007 and 2023.
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Bibliography
2023
Photoelectric factor prediction using automated learning and uncertainty quantification.
Neural Comput. Appl., October, 2023
2022
Predicting the performance of constant volume depletion tests for gas condensate reservoirs using artificial intelligence techniques.
Neural Comput. Appl., 2022
2021
Evolving strategies for shear wave velocity estimation: smart and ensemble modeling approach.
Neural Comput. Appl., 2021
Intelligent Prediction for Rock Porosity While Drilling Complex Lithology in Real Time.
Comput. Intell. Neurosci., 2021
2020
Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System.
Sensors, 2020
An intelligent data-driven model for Dean-Stark water saturation prediction in carbonate rocks.
Neural Comput. Appl., 2020
Application of Artificial Intelligence Techniques in Predicting the Lost Circulation Zones Using Drilling Sensors.
J. Sensors, 2020
2019
Core log integration: a hybrid intelligent data-driven solution to improve elastic parameter prediction.
Neural Comput. Appl., 2019
An integrated approach for estimating static Young's modulus using artificial intelligence tools.
Neural Comput. Appl., 2019
2018
New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network.
Neural Comput. Appl., 2018
2017
Prediction of non-hydrocarbon gas components in separator by using Hybrid Computational Intelligence models.
Neural Comput. Appl., 2017
Investigating the effect of training-testing data stratification on the performance of soft computing techniques: an experimental study.
J. Exp. Theor. Artif. Intell., 2017
2016
A Novel Homogenous Hybridization Scheme for Performance Improvement of Support Vector Machines Regression in Reservoir Characterization.
Appl. Comput. Intell. Soft Comput., 2016
2015
Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines.
Appl. Soft Comput., 2015
2014
Recent advances in the application of computational intelligence techniques in oil and gas reservoir characterisation: a comparative study.
J. Exp. Theor. Artif. Intell., 2014
A hybrid model through the fusion of type-2 fuzzy logic systems and extreme learning machines for modelling permeability prediction.
Inf. Fusion, 2014
Using soft computing techniques to predict corrected air permeability using Thomeer parameters, air porosity and grain density.
Comput. Geosci., 2014
Improved sensitivity based linear learning method for permeability prediction of carbonate reservoir using interval type-2 fuzzy logic system.
Appl. Soft Comput., 2014
2013
A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction.
Neural Comput. Appl., 2013
Ensemble Learning Model for Petroleum Reservoir Characterization: A Case of Feed-Forward Back-Propagation Neural Networks.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013
Ensemble model of Artificial Neural Networks with randomized number of hidden neurons.
Proceedings of the 8th International Conference on Information Technology in Asia, 2013
Predicting Petroleum Reservoir Properties from Downhole Sensor Data using an Ensemble Model of Neural Networks.
Proceedings of the Workshop on Machine Learning for Sensory Data Analysis, 2013
2012
Functional networks as a new data mining predictive paradigm to predict permeability in a carbonate reservoir.
Expert Syst. Appl., 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.
Adv. Fuzzy Syst., 2012
Modeling PVT Properties of Crude Oil Systems Based on Type-2 Fuzzy Logic Approach and Sensitivity Based Linear Learning Method.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2012
2011
Predicting correlations properties of crude oil systems using type-2 fuzzy logic systems.
Expert Syst. Appl., 2011
Modeling the correlations of crude oil properties based on sensitivity based linear learning method.
Eng. Appl. Artif. Intell., 2011
Comput. Ind., 2011
A Hybrid of Functional Networks and Support Vector Machine models for the prediction of petroleum reservoir properties.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011
2010
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2010
2007
Forecasting PVT Correlations of Crude Oil Systems Using Type1 Fuzzy Logic Inference Systems.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007