A. Abdulraheem

发表

A new look into the prediction of static Young's modulus and unconfined compressive strength of carbonate using artificial intelligence tools

M. Belayneh, Zeeshan Tariq, M. Mahmoud, 2019, Petroleum Geoscience.

Effect of the Drilled Cuttings on Filter Cake Sealing Properties and Internal Invasion Depth in MRC Wells

M. Mahmoud, A. Abdulraheem, A. Sultan, 2015 .

Filter Cake Porosity and Permeability Profile Along the Horizontal Well and Their Impact on Filter Cake Removal

M. Mahmoud, A. Abdulraheem, B. Bageri, 2015 .

Effect of Sand Content on the Filter Cake Properties and Removal During Drilling Maximum Reservoir Contact Wells in Sandstone Reservoir

M. Mahmoud, A. Abdulraheem, S. Al-Mutairi, 2016 .

Toward a Complete Removal of Barite (Barium Sulfate $$\hbox {BaSO}_{4}$$BaSO4) Scale Using Chelating Agents and Catalysts

R. Shawabkeh, M. Mahmoud, A. Abdulraheem, 2017 .

Single stage filter cake removal of barite weighted water based drilling fluid

R. Shawabkeh, M. Mahmoud, A. Abdulraheem, 2017 .

Real Time Prediction of the Rheological Properties of Oil-Based Drilling Fluids Using Artificial Neural Networks

M. Mahmoud, A. Abdulraheem, S. Elkatatny, 2018 .

Real-time prognosis of flowing bottom-hole pressure in a vertical well for a multiphase flow using computational intelligence techniques

Zeeshan Tariq, M. Mahmoud, A. Abdulraheem, 2019, Journal of Petroleum Exploration and Production Technology.

Estimation of Permeability from Wireline Logs in a Middle Eastern Carbonate Reservoir Using Fuzzy Logic

Putu D. Raharja, A. Abdulraheem, G. Korvin, 2007 .

Prediction of Rock Mechanical Parameters for Hydrocarbon Reservoirs Using Different Artificial Intelligence Techniques

A. Abdulraheem, A. Vantala, M. Ahmed, 2009 .

Applying Artificial Intelligence Techniques to Develop Permeability Predictive Models using Mercury Injection Capillary-Pressure Data

A. Abdulraheem, H. Nooruddin, F. Anifowose, 2013 .

Artificial Intelligence Based Estimation of Water Saturation Using Electrical Measurements Data in a Carbonate Reservoir

A. Abdulraheem, B. Bageri, F. Anifowose, 2015 .

ARTIFICIAL INTELLIGENCE BASED ESTIMATION OF WATER SATURATION IN COMPLEX RESERVOIR SYSTEMS

A. Abdulraheem, S. Olatunji, A. Adebayo, 2015 .

PVT correlations for Pakistani crude oils using artificial neural network

A. Abdulraheem, M. H. Rammay, 2017, Journal of Petroleum Exploration and Production Technology.

A Rigorous Data-Driven Approach to Predict Poisson's Ratio of Carbonate Rocks Using a Functional Network

Zeeshan Tariq, M. Mahmoud, A. Abdulraheem, 2018 .

New Inflow Performance Relationship for a Horizontal Well in a Naturally Fractured Solution Gas Drive Reservoirs using Artificial Intelligence Technique.

Mohammad Rasheed Khan, Zeeshan Tariq, A. Abdulraheem, 2018 .

Borehole Resistivity Measurement Modeling Using Machine-Learning Techniques

Zeeshan Tariq, M. Mahmoud, A. Abdulraheem, 2018 .

Machine Learning Derived Correlation to Determine Water Saturation in Complex Lithologies

Mohammad Rasheed Khan, Zeeshan Tariq, A. Abdulraheem, 2018 .

Dicationic Surfactants as an Additive in Fracturing Fluids to Mitigate Clay Swelling: A Petrophysical and Rock Mechanical Assessment

M. S. Kamal, Zeeshan Tariq, M. Mahmoud, 2021, ACS omega.

Data Mining in Identifying Carbonate Litho-Facies from Well Logs Based from Extreme Learning and Support Vector Machines

Abdulazeez Abdulraheem, Emad A. El-Sebakhy, E. A. El-Sebakhy, 2010 .

New Approach to Predict Fracture Pressure Using Functional Networks

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mohammed Mahmoud, 2018 .

Development of New Mathematical Model for Compressional and Shear Sonic Times from Wireline Log Data Using Artificial Intelligence Neural Networks (White Box)

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mohamed Mahmoud, 2018 .

A New Artificial Intelligence Based Empirical Correlation to Predict Sonic Travel Time

Zeeshan Tariq, M. Mahmoud, A. Abdulraheem, 2016 .

Effect of the Filtrate Fluid of Water-Based Mud on Sandstone Rock Strength and Elastic Moduli

A. Abdulraheem, S. Elkatatny, Hany Gamal, 2020, ACS omega.

The relationship between lithological and geomechanical properties of tight carbonate rocks from Upper Jubaila and Arab-D Member outcrop analog, Central Saudi Arabia

O. Abdullatif, A. Abdulraheem, G. Korvin, 2015, Arabian Journal of Geosciences.

New approach to evaluate the equivalent circulating density (ECD) using artificial intelligence techniques

M. Mahmoud, S. Patil, A. Abdulraheem, 2018, Journal of Petroleum Exploration and Production Technology.

A two characteristic model for cohesionless soil and its calibration using optimization

M. Zaman, M. Faruque, A. Abdulraheem, 1994 .

Hydraulic unit prediction using support vector machine

Md. Rafiul Hassan, Abdulazeez Abdulraheem, Syed Shujath Ali, 2013 .

Real-time determination of rheological properties of high over-balanced drilling fluid used for drilling ultra-deep gas wells using artificial neural network

A. Abdulraheem, S. Elkatatny, I. Gomaa, 2020 .

ATTENUATION CHARACTERISTICS OF SAUDI ARABIAN RESERVOIR SANDSTONE AND LIMESTONE CORES

M. A. Mohiuddin, K. Khan, A. Abdulraheem, 2001 .

Real-time prediction of Poisson’s ratio from drilling parameters using machine learning tools

A. Abdulraheem, S. Elkatatny, Hany Gamal, 2021, Scientific Reports.

A Holistic Approach to Develop New Rigorous Empirical Correlation for Static Young's Modulus

Zeeshan Tariq, M. Mahmoud, A. Abdulraheem, 2016 .

Comparative analysis of artificial intelligence techniques for formation pressure prediction while drilling

A. Abdulraheem, S. Elkatatny, Abdulwahab Ali, 2019, Arabian Journal of Geosciences.

New insights into porosity determination using artificial intelligence techniques for carbonate reservoirs

Abdulazeez Abdulraheem, Mohamed Mahmoud, Zeeshan Tariq, 2018, Petroleum.

New empirical equation to estimate the soil moisture content based on thermal properties using machine learning techniques

M. Oladunjoye, A. Abdulraheem, Amjed Hassan, 2020, Arabian Journal of Geosciences.

Chapter 8 Reservoir compaction and surface subsidence in the North Sea Ekofisk field

M. Zaman, J. Roegiers, A. Abdulraheem, 1995 .

Estimating Dewpoint Pressure Using Artificial Intelligence

Abdulazeez Abdulraheem, Yasser R. Busaleh, Malik Khalid Al-Arfaj, 2012 .

New approach to evaluate the performance of highly deviated water injection wells using artificial neural network

A. Abdulraheem, Amjed Hassan, Mohamed Awadh, 2021 .

Improving Rate of Penetration in High Pressure High Temperature Gas Wells by Utilization of Managed Pressure Drilling and Artificial Intelligence

A. Abdulraheem, M. Abdelrahman, A. Ghamdi, 2021 .

Application of Artificial Intelligence Techniques to Predict the Well Productivity of Fishbone Wells

A. Abdulraheem, Amjed Hassan, Salaheldin Elkatatny, 2019, Sustainability.

Machine Learning-Based Improved Pressure–Volume–Temperature Correlations for Black Oil Reservoirs

Zeeshan Tariq, M. Mahmoud, A. Abdulraheem, 2021 .

Real-time prediction of formation pressure gradient while drilling

A. Abdulraheem, S. Elkatatny, Ahmed F. Abdelaal, 2022, Scientific Reports.

Evaluation of Barium Sulfate (Barite) Solubility Using Different Chelating Agents at a High Temperature

R. Shawabkeh, M. Mahmoud, A. Abdulraheem, 2017 .

Hyperparameter Tuning of Artificial Neural Networks for Well Production Estimation Considering the Uncertainty in Initialized Parameters

Q. Liao, S. Patil, A. Abdulraheem, 2022, ACS omega.

Estimating compressive strength of lightweight foamed concrete using neural, genetic and ensemble machine learning approach

Fazal E. Jalal, Yue Liu, A. Bardhan, 2022, Cement and Concrete Composites.

Geomechanics of Organic Matters Contained in Shales: A Molecular-Level Investigation

A. Abdulraheem, Saad Alafnan, Mohamed Mahmoud, 2022, ACS omega.

Artificial Intelligence Approach for Predicting the Shale Brittleness Index - A Middle East Basin Case Study

Zeeshan Tariq, M. Mahmoud, A. Abdulraheem, 2022, Day 4 Thu, June 09, 2022.

Prediction of Dew Point Pressure for High-Pressure Gas Reservoirs Using Artificial Intelligence Techniques

M. Mahmoud, A. Abdulraheem, Amjed Hassan, 2022, Day 2 Tue, November 01, 2022.

Real-Time Prediction of Equivalent Circulation Density for Horizontal Wells Using Intelligent Machines

A. Abdulraheem, S. Elkatatny, Ahmed Alsaihati, 2020, ACS omega.

Mitigating Shale Drilling Problems through Comprehensive Understanding of Shale Formations

I. Hussein, A. Abdulraheem, A. Sultan, 2015 .

Ionic Liquids as Clay Swelling Inhibitors: Adsorption Study

M. S. Kamal, K. Norrman, M. Mahmoud, 2022, Energy & Fuels.

Comparative Analysis of Feature Selection-Based Machine Learning Techniques in Reservoir Characterization

Abdulazeez Abdulraheem, Taoreed O. Owolabi, Sunday O. Olatunji, 2015 .

Prediction of Petroleum Reservoir Properties using Different Versions of Adaptive Neuro-Fuzzy Inference System Hybrid Models

Jane Labadin, Abdulazeez Abdulraheem, Fatai Anifowose, 2013, CISIM 2013.

Reservoir heterogeneity and quality of Khuff carbonates in outcrops of central Saudi Arabia

M. Hariri, R. Swennen, A. Abdulraheem, 2018 .

New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network

Mohamed Mahmoud, Salaheldin Elkatatny, Abdul Azeez Abdul Raheem, 2017, Neural Computing and Applications.

Chemical and Mechanical Aspects of Wellbore Stability in Shale Formations: A Literature Review

M. E. Hossain, A. Abdulraheem, A. Sultan, 2014 .

Long-Term Effects of CO2 Sequestration on Rock Mechanical Properties

M. Mahmoud, A. Abdulraheem, Wahbi Al‐Ameri, 2016 .

Determination of the total organic carbon (TOC) based on conventional well logs using artificial neural network

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mohamed Mahmoud, 2017 .

Comparative Analysis of Static and Dynamic Mechanical Behavior for Dry and Saturated Cement Mortar

M. Mahmoud, A. Abdulraheem, A. Al-Nakhli, 2019, Materials.

A review on non-aqueous fracturing techniques in unconventional reservoirs

Zeeshan Tariq, M. Mahmoud, A. Abdulraheem, 2021 .

Evolving strategies for shear wave velocity estimation: smart and ensemble modeling approach

Abdul Azeez Abdul Raheem, Zeeshan Tariq, Mohamed Mahmoud, 2021, Neural Computing and Applications.

A Data-Driven Machine Learning Approach to Predict the Natural Gas Density of Pure and Mixed Hydrocarbons

Abdulazeez Abdulraheem, Esmail M. A. Mokheimer, Mohamed Mahmoud, 2021, Journal of Energy Resources Technology.

Intelligent Prediction of Minimum Miscibility Pressure (MMP) During CO2 Flooding Using Artificial Intelligence Techniques

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Amjed Hassan, 2019, Sustainability.

Data-driven machine learning approach to predict mineralogy of organic-rich shales: An example from Qusaiba Shale, Rub’ al Khali Basin, Saudi Arabia

Zeeshan Tariq, A. Abdulraheem, M. Abouelresh, 2021, Marine and Petroleum Geology.

Control of Lithofacies and Geomechanical Characteristics on Natural Fracture Systems in Qusaiba Shale, Rub’ Al-Khali Basin, Saudi Arabia

A. Abdulraheem, A. Mustafa, Mohamed Abouelresh, 2021, Arabian Journal for Science and Engineering.

Lithofacies Controls on Mechanical Properties and Brittleness in Qusaiba Shale, Rub' Al-Khali Basin, Saudi Arabia

A. Sahin, A. Abdulraheem, A. Mustafa, 2016 .

Predicting the performance of constant volume depletion tests for gas condensate reservoirs using artificial intelligence techniques

A. Abdulraheem, A. Sultan, Amjed Hassan, 2022, Neural Computing and Applications.

Comparative Analysis of Intelligent Algorithms to Predict the Minimum Miscibility Pressure for Hydrocarbon Gas Flooding

Zeeshan Tariq, A. Abdulraheem, S. Kalam, 2019, Day 2 Tue, November 12, 2019.

A competitive ensemble model for permeability prediction in heterogeneous oil and gas reservoirs

Abdulazeez Abdulraheem, Hamza O. Salami, Mohammed Onimisi Yahaya, 2019, Applied Computing and Geosciences.

An integrated approach for estimating static Young’s modulus using artificial intelligence tools

Mohamed Mahmoud, Salaheldin Elkatatny, Abdulazeez Abdulraheem, 2019, Neural Computing and Applications.

Promises of Artificial Intelligence Techniques in Reducing Errors in Complex Flow and Pressure Losses Calculations in Multiphase Fluid Flow in Oil Wells

Abdulazeez Abdulraheem, Abdulrauf Rasheed Adebayo, Ahmad Tariq Al-Shammari, 2013 .

Reaction Kinetics and Coreflooding Study of High-Temperature Carbonate Reservoir Stimulation Using GLDA in Seawater

S. Patil, A. Abdulraheem, S. Elkatatny, 2019, Energies.

Toward a Complete Removal of Barite (Barium Sulfate BaSO 4 ) Scale Using Chelating Agents and Catalysts

R. Shawabkeh, A. Abdulraheem, B. Bageri, 2017 .

Estimation of Oil Recovery Factor for Water Drive Sandy Reservoirs through Applications of Artificial Intelligence

Salaheldin Elkatatny, Weiqing Chen, Ahmed A. Mahmoud, 2019, Energies.

A Review of Pore Structure Characterization of Unconventional Tight Reservoirs

A. Abdulraheem, A. Mustafa, M. Mahmoud, 2019, Day 3 Wed, November 13, 2019.

Prediction of Lost Circulation Zones using Support Vector Machine and Radial Basis Function

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mahmoud Abughaban, 2020 .

Prediction of Pore and Fracture Pressures Using Support Vector Machine

A. Abdulraheem, S. Elkatatny, A. Mahmoud, 2019, Day 2 Wed, March 27, 2019.

Predicting Formation Tops While Drilling Using Artificial Intelligence

A. Abdulraheem, S. Elkatatny, A. Al-Abduljabbar, 2018 .

New Technology to Evaluate Equivalent Circulating Density While Drilling Using Artificial Intelligence

Salaheldin Elkatatny, Khaled Abdelgawad, Abdulazeez Abdulraheem, 2018 .

Impact of Sand Content on Filter Cake and Drilling Fluid Properties in Extended Reach Horizontal Wells

A. Abdulraheem, B. Bageri, S. Al-Mutairi, 2015 .

A New Diagnostic Approach to Identify the Causes of Borehole Instability Problems in an Offshore Arabian Field

M. A. Mohiuddin, K. Khan, A. Abdulraheem, 2001 .

Exposure Time Impact on the Geomechanical Characteristics of Sandstone Formation during Horizontal Drilling

A. Abdulraheem, S. Elkatatny, H. Gamal, 2020, Molecules.

Impact of HCl Acidizing Treatment on Mechanical Integrity of Carbonaceous Shale

A. Abdulraheem, 2022, ACS omega.

Machine Learning-Based Propped Fracture Conductivity Correlations of Several Shale Formations

Hamed Alhoori, Zeeshan Tariq, M. Aljawad, 2021, ACS omega.

Evaluation of the Total Organic Carbon (TOC) Using Different Artificial Intelligence Techniques

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Abdulwahab Ali, 2019, Sustainability.

Machine learning accelerated approach to infer nuclear magnetic resonance porosity for a middle eastern carbonate reservoir

Zeeshan Tariq, A. Abdulraheem, A. Mustafa, 2023, Scientific Reports.

Thermochemical acid fracturing of tight and unconventional rocks: Experimental and modeling investigations

Zeeshan Tariq, M. Aljawad, A. Abdulraheem, 2020 .

New Artificial Neural Networks Model for Predicting Rate of Penetration in Deep Shale Formation

A. Abdulraheem, S. Elkatatny, Abdulwahab Ali, 2019 .

A hybrid particle swarm optimization and support vector regression model for modelling permeability prediction of hydrocarbon reservoir

Abdulazeez Abdulraheem, Kabiru O. Akande, Taoreed O. Owolabi, 2017 .

A New Technique to Quantify the Productivity of Complex Wells Using Artificial Intelligence Tools

Abdulazeez Abdulraheem, Mohamed Mahmoud, Abdulaziz Al-Majed, 2020 .

New Technique to Evaluate the Performance of Hydraulically Fractured Horizontal Wells

A. Abdulraheem, S. Elkatatny, Amjed Hassan, 2018 .

Detection of Loss Zones While Drilling Using Different Machine Learning Techniques

A. Abdulraheem, S. Elkatatny, M. Abughaban, 2021, Journal of Energy Resources Technology.

Thermochemical-Pulse Fracturing of Tight Gas: Investigation of Pulse Loading on Fracturing Behavior

Zeeshan Tariq, A. Abdulraheem, A. Al-Nakhli, 2021, Day 2 Wed, May 26, 2021.

Towards an Improved Ensemble Learning Model of Artificial Neural Networks: Lessons Learned on Using Randomized Numbers of Hidden Neurons

Jane Labadin, Abdulazeez Abdulraheem, Fatai Anifowose, 2014 .

FRACTAL AND GENETIC ASPECTS OF KHUFF RESERVOIR STYLOLITES, EASTERN SAUDI ARABIA

K. Fahd, S. Arabia, A. Abdulraheem, 2002 .

Prediction of the Gas Compressibility Factor Using Coefficient-Matrices Based on ANN

A. Abdulraheem, M. Abido, M. Attia, 2016 .

A New Approach to Borehole Trajectory Optimisation for Increased Hole Stability

M. A. Mohiuddin, Abdulazeez Abdulraheem, Mohammad R. Awal, 2001 .

Rock Strength Prediction in Real-Time While Drilling Employing Random Forest and Functional Network Techniques

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Ahmed Alsaihati, 2021 .

An intelligent data-driven model for Dean–Stark water saturation prediction in carbonate rocks

Abdulazeez Abdulraheem, Zeeshan Tariq, Mohamed Mahmoud, 2019, Neural Computing and Applications.

Ensemble machine learning: An untapped modeling paradigm for petroleum reservoir characterization

Jane Labadin, Abdulazeez Abdulraheem, Fatai Anifowose, 2017 .

Predicting Rate of Penetration Using Artificial Intelligence Techniques

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mohamed Mahmoud, 2018 .

New Computational Artificial Intelligence Models for Generating Synthetic Formation Bulk Density Logs While Drilling

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Ahmed Gowida, 2020, Sustainability.

New Model for Pore Pressure Prediction While Drilling Using Artificial Neural Networks

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mohamed Mahmoud, 2018, Arabian Journal for Science and Engineering.

A Data-Driven Approach to Predict the Breakdown Pressure of the Tight and Unconventional Formation

Zeeshan Tariq, M. Aljawad, A. Abdulraheem, 2021, Day 2 Wed, September 22, 2021.

A New Technique to Develop Rock Strength Correlation Using Artificial Intelligence Tools

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mohammed Mahmoud, 2017 .

Drilling Data-Based Approach to Build a Continuous Static Elastic Moduli Profile Utilizing Artificial Intelligence Techniques

A. Abdulraheem, Salaheldin Elkatatny, O. Siddig, 2022, Journal of Energy Resources Technology.

Artificial intelligence models for real-time synthetic gamma-ray log generation using surface drilling data in Middle East Oil Field

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Moustafa Aly, 2021, Journal of Applied Geophysics.

A parametric study of machine learning techniques in petroleum reservoir permeability prediction by integrating seismic attributes and wireline data

Abdulazeez Abdulraheem, Abdullatif A. Al-Shuhail, Fatai Anifowose, 2019, Journal of Petroleum Science and Engineering.

Development of lithology-based static Young's modulus correlations from log data based on data clustering technique

Emad Ramadan, Abdulazeez Abdulraheem, Mohamed Mahmoud, 2016 .

Wellbore Stability Analysis for Trouble Free Drilling

S. A. Haidary, H. A. Shehri, A. Abdulraheem, 2015 .

Data-Driven Modeling Approach for Pore Pressure Gradient Prediction while Drilling from Drilling Parameters

A. Abdulraheem, S. Elkatatny, Ahmed Abdelaal, 2021, ACS omega.

New Model for Pore Pressure Prediction While Drilling Using Artificial Neural Networks

A. Abdulraheem, S. Elkatatny, Abdulwahab Ali, 2018, Arabian Journal for Science and Engineering.

Geomechanical Studies on CO 2 Sequestrated Rocks in an Aqueous Saline Environment

Zeeshan Tariq, A. Abdulraheem, S. Elkatatny, 2018 .

Optimization of choke size for two-phase flow using artificial intelligence

Abdulazeez Abdulraheem, Mohammad Khamis, Murtada Elhaj, 2019, Journal of Petroleum Exploration and Production Technology.

Development of New Permeability Formulation From Well Log Data Using Artificial Intelligence Approaches

Mohamed Mahmoud, Salaheldin Elkatatny, Abdulazeez Abdulraheem, 2018 .

Analysis of wellbore instability in vertical, directional, and horizontal wells using field data

M. A. Mohiuddin, Abdulazeez Abdulraheem, Abdulaziz Al-Majed, 2007 .

Hybrid intelligent systems in petroleum reservoir characterization and modeling: the journey so far and the challenges ahead

Jane Labadin, Abdulazeez Abdulraheem, Fatai Anifowose, 2017, Journal of Petroleum Exploration and Production Technology.

Imidazolium-Based Ionic Liquids as Clay Swelling Inhibitors: Mechanism, Performance Evaluation, and Effect of Different Anions

A. Abdulraheem, Mobeen Murtaza, Rizwan Ahmed Khan, 2020, ACS omega.

Application of Artificial Intelligence to Estimate Oil Flow Rate in Gas-Lift Wells

Abdulazeez Abdulraheem, Zeeshan Tariq, Mohammad Rasheed Khan, 2020, Natural Resources Research.

Simulation of wellbore erosion and sand transport in long horizontal wells producing gas at high velocities

A. Awotunde, Q. Liao, A. Abdulraheem, 2021 .

An Experimental Study to Reduce the Fracture Pressure of High Strength Rocks Using a Novel Thermochemical Fracturing Approach

Zeeshan Tariq, A. Abdulraheem, A. Al-Nakhli, 2019, Geofluids.

Fuzzy logic-driven and SVM-driven hybrid computational intelligence models applied to oil and gas reservoir characterization

Abdulazeez Abdulraheem, Fatai Anifowose, A. Abdulraheem, 2011 .

Core log integration: a hybrid intelligent data-driven solution to improve elastic parameter prediction

Mohamed Mahmoud, Abdulazeez Abdulraheem, Zeeshan Tariq, 2019, Neural Computing and Applications.

Development of a new correlation to determine the static Young’s modulus

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mohamed Mahmoud, 2018, Journal of Petroleum Exploration and Production Technology.

Study of the Mechanical Behavior of Organic Matters Contained in Source Rocks: New Insights into the Role of Bitumen

M. Aljawad, A. Abdulraheem, Saad Alafnan, 2022, ACS omega.

Productivity Enhancement in Multilayered Unconventional Rocks Using Thermochemicals

Zeeshan Tariq, E. Mokheimer, A. Abdulraheem, 2021 .

Data-Driven Framework to Predict the Rheological Properties of CaCl2 Brine-Based Drill-in Fluid Using Artificial Neural Network

Emad Ramadan, Salaheldin Elkatatny, Abdulazeez Abdulraheem, 2019, Energies.

Artificial Intelligence Models for Real-Time Bulk Density Prediction of Vertical Complex Lithology Using the Drilling Parameters

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Hany Gamal, 2021, Arabian Journal for Science and Engineering.

Application of Artificial Intelligence Techniques in Estimating Oil Recovery Factor for Water Derive Sandy Reservoirs

Mohamed Mahmoud, Salaheldin Elkatatny, Abdulazeez Abdulraheem, 2017 .

A simple geometric model of sedimentary rock to connect transfer and acoustic properties

K. Oleschko, A. Abdulraheem, G. Korvin, 2014, Arabian Journal of Geosciences.

Machine Learning Models for Acoustic Data Prediction During Drilling Composite Lithology Formations

A. Abdulraheem, Salaheldin Elkatatny, G. Glatz, 2022, Journal of Energy Resources Technology.

APPLICATION OF ARTIFICIAL NEURAL NETWORK TO PREDICT FORMATION BULK DENSITY WHILE DRILLING

A. Abdulraheem, S. Elkatatny, Ahmed Gowida, 2019, Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description.

A systematic review of data science and machine learning applications to the oil and gas industry

Sulaiman A. Alarifi, Zeeshan Tariq, M. Aljawad, 2021, Journal of Petroleum Exploration and Production Technology.

Real-time static Poisson’s ratio prediction of vertical complex lithology from drilling parameters using artificial intelligence models

A. Abdulraheem, S. Elkatatny, Ashraf Ahmed, 2021, Arabian Journal of Geosciences.

Cutting concentration prediction in horizontal and deviated wells using artificial intelligence techniques

Emad Ramadan, Salaheldin Elkatatny, Abdulazeez Abdulraheem, 2019, Journal of Petroleum Exploration and Production Technology.

Estimation of Geomechanical Failure Parameters from Well Logs Using Artificial Intelligence Techniques

Salaheldin Elkatatny, Tamer Moussa, A. Abdulraheem, 2017 .

An Integrated Approach for Downhole Leak Detection

Abdulazeez Abdulraheem, M. Enamul Hossain, Ali Musa Al-Hussain, 2015 .

Reducing Breakdown Pressure of Tight Reservoirs Via in-Situ Pulses: Impact of Mineralogy

A. Abdulraheem, A. Al-Nakhli, M. Mahmoud, 2019 .

Resistivity Log Prediction in Horizontal Low Formation Quality Well Using Data-Driven Robust Models

A. Ibrahim, A. Abdulraheem, S. Elkatatny, 2023, Arabian Journal for Science and Engineering.

An experimental study to reduce the breakdown pressure of the unconventional carbonate rock by cyclic injection of thermochemical fluids

Zeeshan Tariq, A. Abdulraheem, A. Al-Nakhli, 2020 .

An Environment Friendly Approach to Reduce the Breakdown Pressure of High Strength Unconventional Rocks by Cyclic Hydraulic Fracturing

Zeeshan Tariq, A. Abdulraheem, Mobeen Murtaza, 2020, Journal of Energy Resources Technology.

Numerical simulation of a compacting reservoir

M. Zaman, J. Roegiers, A. Abdulraheem, 1993 .

An Artificial Intelligence Approach to Predict the Water Saturation in Carbonate Reservoir Rocks

Zeeshan Tariq, A. Abdulraheem, M. Mahmoud, 2019, Day 2 Tue, October 01, 2019.

A Self-Adaptive Artificial Intelligence Technique to Predict Oil Pressure Volume Temperature Properties

Mohamed Mahmoud, Abdulazeez Abdulraheem, Salaheldin Elkatatny, 2018, Energies.

Machine Learning Application for Oil Rate Prediction in Artificial Gas Lift Wells

Zeeshan Tariq, A. Abdulraheem, M. Khan, 2019, Day 3 Wed, March 20, 2019.

Impact of Multi-Branched Ionic Liquid on Shale Swelling and Hydration for High Temperature Drilling Applications

A. Abdulraheem, Mobeen Murtaza, H. Ahmad, 2021 .

Development of a Gas Flow Rate Model for Multi-Stage Choke System in HPHT Gas Wells Using Artificial Intelligence

A. Abdulraheem, A. M. Muslim, A. Alghamdi, 2021, Day 4 Thu, October 21, 2021.

Shale brittleness prediction using machine learning - A Middle East basin case study

Rizwan Ahmed Khan, Zeeshan Tariq, A. Abdulraheem, 2022, AAPG Bulletin.

Statistical Methods to Improve the Quality of Real-Time Drilling Data

Zeeshan Tariq, A. Abdulraheem, A. Al‐Majed, 2022, Journal of Energy Resources Technology.

An integrated approach for estimating static Young’s modulus using artificial intelligence tools

Zeeshan Tariq, A. Abdulraheem, S. Elkatatny, 2018, Neural Computing and Applications.

New Technique to Determine the Total Organic Carbon Based on Well Logs Using Artificial Neural Network (White Box)

Mohamed Mahmoud, Salaheldin Elkatatny, Abdulazeez Abdulraheem, 2017 .

Synthetic Well-Log Generation: New Approach to Predict Formation Bulk Density While Drilling Using Neural Networks and Fuzzy Logic

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Dhafer Al Shehri, 2020 .

Non-linear feature selection-based hybrid computational intelligence models for improved natural gas reservoir characterization

Jane Labadin, Abdulazeez Abdulraheem, Fatai Anifowose, 2014 .

Microstructural and strength variations in natural sands exposed to diverse environmental conditions

Shamsad Ahmad, A. Abdulraheem, U. Ali, 2023, Case Studies in Construction Materials.

Prediction of Yield Sooting Index Utilizing Artificial Neural Networks and Adaptive-Network-Based Fuzzy Inference Systems

Mohammad Irfan Alam, Abdul Gani Abdul Jameel, A. Abdulraheem, 2022, Arabian Journal for Science and Engineering.

Integrating seismic and log data for improved petroleum reservoir properties estimation using non-linear feature-selection based hybrid computational intelligence models

Abdulazeez Abdulraheem, Abdullatif A. Al-Shuhail, Fatai Anifowose, 2016 .

Pressure Drop Due to Multiphase Flow Using Four Artificial Intelligence Methods

Mohamed Mahmoud, Abdulazeez Abdulraheem, M. Attia, 2015 .

Method for Estimating Permeability in Carbonate Reservoirs From Typical Logging Parameters Using Functional Network

Zeeshan Tariq, A. Abdulraheem, M. Mahmoud, 2019 .

Utilizing State of the Art Computational Intelligence to Estimate Oil Flow Rate in Artificial Lift Wells

Abdulazeez Abdulraheem, Zeeshan Tariq, Mohammad Rasheed Khan, 2018 .

Real-Time Prediction for Sonic Slowness Logs from Surface Drilling Data Using Machine Learning Techniques

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Hany Gamal, 2021, Day 2 Wed, October 06, 2021.

A New Approach to Predict Failure Parameters of Carbonate Rocks using Artificial Intelligence Tools

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mohammed Mahmoud, 2017 .

A hybrid particle swarm optimization and support vector regression model for modelling permeability prediction of hydrocarbon reservoir

Kabiru O. Akande, A. Abdulraheem, T. Owolabi, 2017 .

Hydraulic Unit Estimation From Predicted Permeability and Porosity Using Artificial Intelligence Techniques

Md. Rafiul Hassan, Abdulazeez Abdulraheem, M. Enamul Hossain, 2013 .

The prediction of wellhead pressure for multiphase flow of vertical wells using artificial neural networks

A. Abdulraheem, S. Elkatatny, I. Gomaa, 2021, Arabian Journal of Geosciences.

A Statistical Machine Learning Model to Predict Equivalent Circulation Density ECD while Drilling, Based on Principal Components Analysis PCA

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Ahmed AlSaihati, 2021 .

Photoelectric factor prediction using automated learning and uncertainty quantification

Khalid L. Alsamadony, A. Raheem, A. Ibrahim, 2022, Neural Computing and Applications.

Artificial Intelligence-Based Model of Mineralogical Brittleness Index Based on Rock Elemental Compositions

M. Aljawad, A. Abdulraheem, Amjed Hassan, 2022, The Arabian journal for science and engineering.

Data-Driven Approaches to Predict Thermal Maturity Indices of Organic Matter Using Artificial Neural Networks

Zeeshan Tariq, A. Abdulraheem, Mohamed Abouelresh, 2020, ACS omega.

Application of machine learning and deep learning in geothermal resource development: Trends and perspectives

A. Abdulraheem, S. Kaka, A. Al-Fakih, 2024, Deep Underground Science and Engineering.

Predicting the Rock Hardness of Unconventional Shales Based on Elemental Compositions by Employing Artificial Neuron Networks

A. Abdulraheem, A. Hassan, F. I. Alkhayyal, 2023, Day 4 Thu, October 05, 2023.

Applied Soft Computing

Jane Labadin, Anifowose Fatai, Abdul Azeez Abdul Raheem, 2014 .