DR. Ahmed Abdulhamid Ahmed Mahmoud
Assistant Professor
PETE
ahmed.mahmoud@kfupm.edu.saDetermination of the total organic carbon (TOC) based on conventional well logs using artificial neural network
A Comprehensive Review on Applications of Polymeric Surfactants for Chemical Enhanced Oil Recovery
Insight into the mechanism for oil recovery using EDTA chelating agent solutions from clayey sandstone rocks
Influence of nanoclay content on cement matrix for oilwells subjected to cyclic steam injection
DOI: 10.3390/ma12091452
Evaluating the integrity of clayey sandstone rocks flooded with high pH EDTA chelating agent solutions
Estimation of static Young’s modulus for sandstone formation using artificial neural networks
DOI: 10.3390/en12112125
Mitigating CO2 reaction with hydrated oil well cement under geologic carbon sequestration using nanoclay particles
Estimation of oil recovery factor for water drive sandy reservoirs through applications of artificial intelligence
DOI: 10.3390/en12193671
Evaluation of the total organic carbon (TOC) using different artificial intelligence techniques
DOI: 10.3390/su11205643
New Robust Model to Estimate Formation Tops in Real Time Using Artificial Neural Networks (ANN)
The effect of weighting materials on oil-well cement properties while drilling deep wells
DOI: 10.3390/su11236776
Prediction of the rate of penetration while drilling horizontal carbonate reservoirs using the self-adaptive artificial neural networks technique
DOI: 10.3390/su12041376
Application of machine learning in evaluation of the static young’s modulus for sandstone formations
DOI: 10.3390/su12051880
Enhancing the cement quality using polypropylene fiber
New hybrid hole cleaning model for vertical and deviated wells
DOI: 10.1115/1.4045169
Improving class G cement carbonation resistance for applications of geologic carbon sequestration using synthetic polypropylene fiber
EDoS-ADS: An Enhanced Mitigation Technique against Economic Denial of Sustainability (EDoS) Attacks
A review of different approaches for water-based drilling fluid filter cake removal
Improving Saudi class G oil-well cement properties using the tire waste material
Improved durability of Saudi Class G oil-well cement sheath in CO2 rich environments using olive waste
The use of the granite waste material as an alternative for silica flour in oil-well cementing
A Novel Collaborative IoD-Assisted VANET Approach for Coverage Area Maximization
Artificial neural network model for real-time prediction of the rate of penetration while horizontally drilling natural gas-bearing sandstone formations
DSF: A Distributed SDN Control Plane Framework for the East/West Interface
Modeling and evaluation of software defined networking based 5G core network architecture
Retraction:Utilization of Artificial Neural Network in Predicting the Total Organic Carbon in Devonian Shale Using the Conventional Well Logs and the Spectral Gamma Ray
DOI: 10.1155/2021/2486046
Use of Machine Learning and Data Analytics to Detect Downhole Abnormalities while Drilling Horizontal Wells, with Real Case Study
DOI: 10.1115/1.4048070
Bootstrapped LARAC algorithm for fast delay-sensitive QoS provisioning in SDN networks
DOI: 10.1002/dac.4880
Application of machine learning models for real-time prediction of the formation lithology and tops from the drilling parameters
Estimation of the rate of penetration while horizontally drilling carbonate formation using random forest
DOI: 10.1115/1.4050778
Novel empirical correlation for estimation of the total organic carbon in devonian shale from the spectral gamma-ray and based on the artificial neural networks
DOI: 10.1115/1.4050777
Modeling of aquifer vulnerability index using deep learning neural networks coupling with optimization algorithms
Recent Advances in Magnesia Blended Cement Studies for Geotechnical Well Construction—A Review
Machine learning models for generating the drilled porosity log for composite formations
A Novel Artificial Neural Network-Based Correlation for Evaluating the Rate of Penetration in a Natural Gas Bearing Sandstone Formation: A Case Study in a Middle East Oil Field
DOI: 10.1155/2022/9444076
Artificial neural networks-based correlation for evaluating the rate of penetration in a vertical carbonate formation for an entire oil field
A review of the various treatments of oil-based drilling fluids filter cakes
The Use of Graphite to Improve the Stability of Saudi Class G Oil-Well Cement against the Carbonation Process
Estimating the Total Organic Carbon for Unconventional Shale Resources During the Drilling Process: A Machine Learning Approach
DOI: 10.1115/1.4051737
Curing Time Impacts on the Mechanical and Petrophysical Properties of a Laponite-Based Oil Well Cement
Effect of micro-magnesium oxide admixture on rheological and compressive strength properties of class G well cement
Real-time evaluation of the dynamic Young’s modulus for composite formations based on the drilling parameters using different machine learning algorithms
The Combined Effect of Nanoclay Powder and Curing Time on the Properties of Class G Cement
DOI: 10.1155/2023/7316335
Effect of Graphite on the Mechanical and Petrophysical Properties of Class G Oil Well Cement
The effect of polypropylene fiber on the curing time of class G oil well cement and its mechanical, petrophysical, and elastic properties
Evaluation of the wellbore drillability while horizontally drilling sandstone formations using combined regression analysis and machine learning models
The Effect of Olive Waste on the Rheological Properties, Thickening Time, Permeability, and Strength of Oil Well Cement
Performance of the Hole Cleaning Factor in Predicting the Hole Cleaning Conditions in Vertical and Deviated Wells: Real Case Studies
Properties and Performance of Oil Well Slurry and Cement Sheath Incorporating Nano Silica: A Review
Foamed Cement Applications in Oil Industry Based on Field Experience: A Comprehensive Review
A New Empirical Correlation for Pore Pressure Prediction Based on Artificial Neural Networks Applied to a Real Case Study
DOI: 10.3390/pr12040664
Rebuilding with sand roses: Cold sintering of sand-gypsum mixture for sustainable brick production
Predicting Water Saturation in a Greek Oilfield with the Power of Artificial Neural Networks
A review of the critical conditions required for effective hole cleaning while horizontal drilling
From Hematite to Magnetite: A Comparative Study on Weighting Materials in Well Cementing
DOI: 10.2118/230303-PA
Assessing the influence of olive waste on the filtration properties, elasticity, porosity, and strength of oil well cement
CO2–Binder Reaction Mechanisms in Geopolymer Wellbore Cements: Alternatives to API Class G Cement in CO2-Rich Environments (CCS)
Hybrid monitoring framework for geological CO2 storage: Comparative insights from nuclear magnetic resonance (NMR) and conventional techniques
Hybrid Bentonite-Zeolitic Imidazolate Framework Additive as an H2S Scavenger and Strength Enhancer for Class G Oil-Well Cement