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Ahmed Abdelaal
Ahmed Abdelaal
Postdoc Researcher, KFUPM
Dirección de correo verificada de kfupm.edu.sa
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Año
A review of foam-based fracturing fluids applications: From lab studies to field implementations
A Abdelaal, MS Aljawad, Z Alyousef, MM Almajid
Journal of Natural Gas Science and Engineering 95, 104236, 2021
642021
Data-driven modeling approach for pore pressure gradient prediction while drilling from drilling parameters
A Abdelaal, S Elkatatny, A Abdulraheem
ACS omega 6 (21), 13807-13816, 2021
482021
Mixed CO2/N2 Foam for EOR as a Novel Solution for Supercritical CO2 Foam Challenges in Sandstone Reservoirs
A Abdelaal, R Gajbhiye, D Al-Shehri
ACS omega 5 (51), 33140-33150, 2020
452020
Machine learning models for equivalent circulating density prediction from drilling data
H Gamal, A Abdelaal, S Elkatatny
ACS omega 6 (41), 27430-27442, 2021
342021
Real-time prediction of formation pressure gradient while drilling
A Abdelaal, S Elkatatny, A Abdulraheem
Scientific Reports, 2022
212022
Evaluation of hematite and Micromax-based cement systems for high-density well cementing
A Ahmed, A Abdelaal, S Elkatatny
Journal of Petroleum Science and Engineering 220, 111125, 2023
192023
Durability of lightweight oil-well geopolymer system in sulfate environment
S Adjei, A Abdelaal, S Elkatatny, AM Abdelfattah
Journal of Petroleum Exploration and Production Technology 13 (1), 439-448, 2023
152023
Formation resistivity prediction using decision tree and random forest
AF Ibrahim, A Abdelaal, S Elkatatny
Arabian Journal for Science and Engineering 47 (9), 12183-12191, 2022
142022
Development of Heavy-Weight Hematite-Based Geopolymers for Oil and Gas Well Cementing
A Abdelaal, S Elkatatny, AM Abd El Fattah
ACS Omega, 2023
122023
Synergy of retarders and superplasticizers for thickening time enhancement of hematite based fly ash geopolymers
A Abdelaal, S Elkatatny
Geoenergy Science and Engineering 224, 211641, 2023
112023
Data-driven approach for resistivity prediction using artificial intelligence
A Abdelaal, AF Ibrahim, S Elkatatny
Journal of Energy Resources Technology 144 (10), 103003, 2022
112022
Pore Pressure Estimation While Drilling Using Machine Learning
A Abdelaal, S Elkatatny, A Abdulraheem
ARMA/DGS/SEG 2nd International Geomechanics Symposium, 2021
112021
Artificial Neural Network Model for Predicting the Equivalent Circulating Density From Drilling Parameters
H Gamal, A Abdelaal, A Alsaihati, S Elkatatny, A Abdulraheem
55th US Rock Mechanics/Geomechanics Symposium, 2021
102021
Improvement of supercritical carbon dioxide foam performance for EOR in sandstone reservoirs: An experimental and optimization study
A Abdelaal, R Gajbhiye, D AlShehri, M Mahmoud, S Patil, X Zhou
Gas Science and Engineering 110, 204859, 2023
92023
Machine Learning Approaches for Compressibility Factor Prediction at High-and Low-Pressure Ranges
AM Salem, M Attia, A Alsabaa, A Abdelaal, Z Tariq
Arabian Journal for Science and Engineering 47 (9), 12193-12204, 2022
92022
Mixed Micromax and hematite-based fly ash geopolymer for heavy-weight well cementing
A Abdelaal, S Elkatatny
Scientific Reports 13 (1), 8669, 2023
82023
High Density Geopolymers: A Step Forward Towards Low Carbon Footprint Cementing Operations
AE Abdelaal, SM Elkatatny
Offshore Technology Conference, 2023
82023
Empirical correlation for formation resistivity prediction using machine learning
A Abdelaal, AF Ibrahim, S Elkatatny
Arabian Journal of Geosciences 15 (12), 1153, 2022
72022
Formation Pressure Prediction From Mechanical and Hydraulic Drilling Data Using Artificial Neural Networks
A Abdelaal, S Elkatatny, A Abdulraheem
55th US Rock Mechanics/Geomechanics Symposium, 2021
6*2021
Perlite incorporation for sedimentation reduction and improved properties of high-density geopolymer cement for oil well cementing
A Abdelaal, S Elkatatny, AM Abdel Fattah
Scientific Reports 14 (1), 9707, 2024
52024
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