A. Mahmoud

发表

Mitigating CO2 reaction with hydrated oil well cement under geologic carbon sequestration using nanoclay particles

S. Elkatatny, A. Mahmoud, 2019, Journal of Natural Gas Science and Engineering.

AADE-19-NTCE-066 Effect of the Temperature on the Strength of Nanoclay-Based Cement under Geologic Carbon Sequestration

K. Fahd, Salaheldin Elkatatny, A. Mahmoud, 2019 .

A review of the various treatments of oil-based drilling fluids filter cakes

Salaheldin Elkatatny, A. Mahmoud, O. Siddig, 2021, Journal of Petroleum Exploration and Production Technology.

Application of machine learning models for real-time prediction of the formation lithology and tops from the drilling parameters

Salaheldin Elkatatny, A. Mahmoud, A. Al-Abduljabbar, 2021, Journal of Petroleum Science and Engineering.

A review of different approaches for water-based drilling fluid filter cake removal

S. Elkatatny, A. Mahmoud, O. Siddig, 2020 .

Fracture Pressure Prediction Using Radial Basis Function

K. Fahd, S. Elkatatny, Abdulmalek Ahmed, 2019 .

A Comprehensive Review on Applications of Polymeric Surfactants for Chemical Enhanced Oil Recovery

A. Mahmoud, 2018 .

Improving class G cement carbonation resistance for applications of geologic carbon sequestration using synthetic polypropylene fiber

S. Elkatatny, A. Mahmoud, 2020 .

Improving Class G Cement Carbonation Resistance Using Nanoclay Particles for Geologic Carbon Sequestration Applications

M. Mahmoud, S. Elkatatny, A. Mahmoud, 2018, Day 1 Mon, November 12, 2018.

New Hybrid Hole Cleaning Model for Vertical and Deviated Wells

S. Elkatatny, A. Mahmoud, Mahmoud Elzenary, 2020, Journal of Energy Resources Technology.

Recent Advances in Magnesia Blended Cement Studies for Geotechnical Well Construction—A Review

Salaheldin Elkatatny, Weiqing Chen, A. Mahmoud, 2021, Frontiers in Materials.

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

Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mohamed Mahmoud, 2017 .

Enhancing the cement quality using polypropylene fiber

S. Elkatatny, A. Mahmoud, R. Gajbhiye, 2019, Journal of Petroleum Exploration and Production Technology.

Improved durability of Saudi Class G oil-well cement sheath in CO2 rich environments using olive waste

Salaheldin Elkatatny, A. Mahmoud, 2020 .

Influence of Nanoclay Content on Cement Matrix for Oil Wells Subjected to Cyclic Steam Injection

S. Elkatatny, Abdulmalek Ahmed, A. Mahmoud, 2019, Materials.

Nanoclay Content Influence on Cement Strength for Oil Wells Subjected to Cyclic Steam Injection and High-Temperature Conditions

M. Mahmoud, S. Elkatatny, A. Mahmoud, 2018, Day 1 Mon, November 12, 2018.

Effect of micro-magnesium oxide admixture on rheological and compressive strength properties of class G well cement

Salaheldin Elkatatny, A. Mahmoud, Wei-qing Chen, 2022, Frontiers in Materials.

The Use of Graphite to Improve the Stability of Saudi Class G Oil-Well Cement against the Carbonation Process

S. Elkatatny, A. Mahmoud, A. Al‐Majed, 2022, ACS omega.

Evaluating the integrity of clayey sandstone rocks flooded with high pH EDTA chelating agent solutions

H. Al-Hashim, A. Mahmoud, 2019, Journal of Petroleum Science and Engineering.

The Role of Mineral Composition, Rock Permeability, and Connate-Water Composition on the Performance of Low-Salinity Waterflooding in Sandstone Reservoirs

A. Mahmoud, S. A. Hussein, 2016 .

Insight into the mechanism for oil recovery using EDTA chelating agent solutions from clayey sandstone rocks

H. Al-Hashim, A. Mahmoud, 2018 .

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

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

Prediction of Pore and Fracture Pressures Using Support Vector Machine

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

A New Enhanced Oil Recovery Approach for Clayey Sandstone Reservoirs Using Sequential Injection of Chelating Agent Solutions with Different Concentrations

H. Al-Hashim, A. Mahmoud, 2017 .

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

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

The Effect of Graphite on the Properties of Class G Oil Well Cement

S. Elkatatny, A. Mahmoud, Muhammad Andiva Pratama, 2023, Day 2 Mon, February 20, 2023.

Effect of Graphite on the Mechanical and Petrophysical Properties of Class G Oil Well Cement

S. Elkatatny, A. Mahmoud, Muhammad Andiva Pratama, 2023, ACS omega.

Utilization of Artificial Neural Network in Predicting the Total Organic Carbon in Devonian Shale Using the Conventional Well Logs and the Spectral Gamma Ray

P. Soupios, S. Elkatatny, A. Mahmoud, 2021, Comput. Intell. Neurosci..

Estimating the Total Organic Carbon for Unconventional Shale Resources During the Drilling Process: A Machine Learning Approach

S. Elkatatny, A. Mahmoud, Ahmed Alsaihati, 2021, Journal of Energy Resources Technology.

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

S. Elkatatny, A. Mahmoud, 2021 .

Real-time evaluation of the dynamic Young’s modulus for composite formations based on the drilling parameters using different machine learning algorithms

S. Elkatatny, Weiqing Chen, A. Mahmoud, 2022, Frontiers in Earth Science.

Application of Machine Learning in Evaluation of the Static Young’s Modulus for Sandstone Formations

Salaheldin Elkatatny, Ahmed A. Mahmoud, Dhafer Al Shehri, 2020 .

Estimation of Static Young’s Modulus for Sandstone Formation Using Artificial Neural Networks

Salaheldin Elkatatny, Tamer Moussa, Abdulwahab Ali, 2019, Energies.

Estimation of the Rate of Penetration While Horizontally Drilling Carbonate Formation Using Random Forest

S. Elkatatny, Abdulwahab Ali, A. Mahmoud, 2021 .

The Use of the Granite Waste Material as an Alternative for Silica Flour in Oil-Well Cementing

S. Elkatatny, Abdulmalek Ahmed, A. Mahmoud, 2020, ACS omega.

Machine learning models for generating the drilled porosity log for composite formations

S. Elkatatny, A. Mahmoud, H. Gamal, 2021, Arabian Journal of Geosciences.

Application of Tire Waste Material to Enhance the Properties of Saudi Class G Oil Well Cement

S. Elkatatny, Abdulmalek Ahmed, A. Mahmoud, 2021, Day 3 Tue, November 30, 2021.

The Effect of Silica Content on the Changes in the Mechanical Properties of Class G Cement at High Temperature from Slurry to Set

S. Elkatatny, A. Mahmoud, 2019 .

The effect of polypropylene fiber on the curing time of class G oil well cement and its mechanical, petrophysical, and elastic properties

S. Elkatatny, Abdulmalek Ahmed, A. Mahmoud, 2023, Journal of Petroleum Exploration and Production Technology.

The Effect of Weighting Materials on Oil-Well Cement Properties While Drilling Deep Wells

Salaheldin Elkatatny, Weiqing Chen, Abdulmalek Ahmed, 2019, Sustainability.

Curing Time Impacts on the Mechanical and Petrophysical Properties of a Laponite-Based Oil Well Cement

S. Elkatatny, Abdulmalek Ahmed, A. Mahmoud, 2022, ACS omega.

Improving Saudi Class G Oil-Well Cement Properties Using the Tire Waste Material

S. Elkatatny, Abdulmalek Ahmed, A. Mahmoud, 2020, ACS omega.

Modeling of aquifer vulnerability index using deep learning neural networks coupling with optimization algorithms

H. Elzain, Venkatramanan Senapathi, S. Chung, 2021, Environmental Science and Pollution Research.

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 .

New Robust Model to Estimate Formation Tops in Real Time Using Artificial Neural Networks (ANN)

Salaheldin Elkatatny, Ahmed Al-AbdulJabbar, Ahmed Abdulhamid Mahmoud, 2019 .

Artificial neural networks-based correlation for evaluating the rate of penetration in a vertical carbonate formation for an entire oil field

S. Elkatatny, A. Mahmoud, A. Al-Abduljabbar, 2021, Journal of Petroleum Science and Engineering.

Artificial neural network model for real-time prediction of the rate of penetration while horizontally drilling natural gas-bearing sandstone formations

S. Elkatatny, A. Mahmoud, A. Al-Abduljabbar, 2021, Arabian Journal of Geosciences.