Παρακολούθηση
Salaheldin Elkatatny
Salaheldin Elkatatny
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα kfupm.edu.sa
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Determination of the total organic carbon (TOC) based on conventional well logs using artificial neural network
AAA Mahmoud, S Elkatatny, M Mahmoud, M Abouelresh, A Abdulraheem, ...
International Journal of Coal Geology 179, 72-80, 2017
2082017
Real time prediction of drilling fluid rheological properties using Artificial Neural Networks visible mathematical model (white box)
S Elkatatny, Z Tariq, M Mahmoud
Journal of Petroleum Science and Engineering 146, 1202-1210, 2016
1892016
New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network
S Elkatatny, M Mahmoud, Z Tariq, A Abdulraheem
Neural Computing and Applications 30, 2673-2683, 2018
1512018
Real-time determination of rheological properties of spud drilling fluids using a hybrid artificial intelligence technique
K Abdelgawad, S Elkatatny, T Moussa, M Mahmoud, S Patil
Journal of Energy Resources Technology 141 (3), 032908, 2019
1222019
Real-time prediction of rheological parameters of KCL water-based drilling fluid using artificial neural networks
S Elkatatny
Arabian Journal for Science and Engineering 42, 1655-1665, 2017
1222017
A review on clay chemistry, characterization and shale inhibitors for water-based drilling fluids
NS Muhammed, T Olayiwola, S Elkatatny
Journal of Petroleum Science and Engineering 206, 109043, 2021
1082021
Effect of pH on rheological and filtration properties of water-based drilling fluid based on bentonite
H Gamal, S Elkatatny, S Basfar, A Al-Majed
Sustainability 11 (23), 6714, 2019
1052019
Single stage filter cake removal of barite weighted water based drilling fluid
M Mahmoud, A Abdulraheem, SH Al-Mutairi, SM Elkatatny, ...
Journal of Petroleum Science and Engineering 149, 476-484, 2017
1012017
Characterization of filter cake generated by water-based drilling fluids using CT scan
SM Elkatatny, MA Mahmoud, HA Nasr-El-Din
SPE Drilling & completion 27 (02), 282-293, 2012
1002012
New approach to optimize the rate of penetration using artificial neural network
S Elkatatny
Arabian Journal for Science and Engineering 43, 6297-6304, 2018
962018
An integrated approach for estimating static Young’s modulus using artificial intelligence tools
S Elkatatny, Z Tariq, M Mahmoud, A Abdulraheem, I Mohamed
Neural Computing and Applications 31, 4123-4135, 2019
932019
Development of a new correlation to determine the static Young’s modulus
S Elkatatny, M Mahmoud, I Mohamed, A Abdulraheem
Journal of Petroleum Exploration and Production Technology 8, 17-30, 2018
932018
Unconfined compressive strength (UCS) prediction in real-time while drilling using artificial intelligence tools
A Gowida, S Elkatatny, H Gamal
Neural Computing and Applications 33 (13), 8043-8054, 2021
922021
A robust rate of penetration model for carbonate formation
A Al-AbdulJabbar, S Elkatatny, M Mahmoud, K Abdelgawad, A Al-Majed
Journal of Energy Resources Technology 141 (4), 042903, 2019
912019
New model for pore pressure prediction while drilling using artificial neural networks
A Ahmed, S Elkatatny, A Ali, M Mahmoud, A Abdulraheem
Arabian Journal for Science and Engineering 44 (6), 6079-6088, 2019
902019
Development of new permeability formulation from well log data using artificial intelligence approaches
T Moussa, S Elkatatny, M Mahmoud, A Abdulraheem
Journal of Energy Resources Technology 140 (7), 072903, 2018
862018
Optimization of rate of penetration using artificial intelligent techniques
SM Elkatatny, Z Tariq, MA Mahmoud, A Al-AbdulJabbar
ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2017-0429, 2017
832017
Estimation of oil recovery factor for water drive sandy reservoirs through applications of artificial intelligence
AA Mahmoud, S Elkatatny, W Chen, A Abdulraheem
Energies 12 (19), 3671, 2019
792019
Application of artificial intelligence techniques to estimate the static Poisson's ratio based on wireline log data
S Elkatatny
Journal of Energy Resources Technology 140 (7), 072905, 2018
782018
Effect of CO2 adsorption on enhanced natural gas recovery and sequestration in carbonate reservoirs
M Eliebid, M Mahmoud, R Shawabkeh, S Elkatatny, IA Hussein
Journal of Natural Gas Science and Engineering 55, 575-584, 2018
772018
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