Dr. Salaheldin M. Elkatatny

Publications & Patents:

Granted Patents

• Mahmoud, M., and Elkatatny, S.M., “Composition and method for removing oil-based filter cake”, US 10844278 B2, 2020.
• Fadhel, R. and Elkatatny, S.M., “System, apparatus, and method for determining characteristics of rock samples”, US 10845293 B2. 2020.
• Elkatatny, S.M., Shawabkeh, R., and Mahmoud, M. 2019. Method for drilling a wellbore with a weighted hydrogen sulfide scavenger fluid. US 10501676 B2.
• Elkatatny, S.M., Shawabkeh, R., and Mahmoud, M. 2019. Method for drilling a hydrogen sulfide-containing formation. US 10,479,919.
• Mahmoud, M., Elkatatny, S.M., and Mohammad, M. 2019. Organic acid fracturing fluid composition. US10,479,930.
• Mahmoud, M., Elkatatny, S.M., and Ali, A. 2019. Method for making a drilling fluid composition and fracturing a subterranean formation. US 10,457,855
• Mahmoud, M., Elkatatny, S.M., and Mohammad, M. 2019. Fracturing fluid composition containing an acrylamido-tert-butylsulfonate polymer. US 10435621.
• Mahmoud, M., Elkatatny, S.M., and Ali, A. 2019. Method of forming a mixture of barite particles, chelating agent and bentonite for fracturing. US 10,358,593.
• Elkatatny, S.M., Shawabkeh, R., and Mahmoud, M. 2019. Method of drilling a subterranean geological formation with a drilling fluid composition comprising copper nitrate. US 10,301,524.
• Mahmoud, M., Elkatatny, S.M., and Ali, A. 2019. Method of fracturing a subterranean formation using micronized barite particles. US 10,179,874.
• Mahmoud, M., Elkatatny, S. M., and Mohammad, M. 2018. Saltwater-based fracturing fluid. US 10,125,308.
• Mahmoud, M., Elkatatny, S.M., and Mohammad, M. 2018. Glutamic diacetic acid-containing aqueous fluid composition. US 10, 119, 066 B1.
• Mahmoud, M., Elkatatny, S.M., and Mohammad, M. 2018. Fracturing Fluid Composition and a Method of Fracturing a Subterranean Formation Using the Same. US 10047278 B1.
• Elkatatny, S.M., and Mahmoud, M. 2017. Method for evaluating the effectiveness of matrix acidizing in a subterranean formation. US 9810063 B2.

Published Patent

• Elkatatny, S.M., Mahmoud, M., Sultan, A., “Method of removing calcium-containing water-based filter cake using a biodegradable acid solution”, US Patent US 2021/0207020, 2021
• Elkatatny, S.M., Mahmoud, M., Gamal, H., Sultan, A., “Method of removing iron-containing scale from a wellbore, pipe, or surface using a biodegradable descaler solution”, US Patent 20210207019A1, 2021
• Elkatatny, S.M., Mohamed, A., Basfer”., S., “Method of removing calcium carbonate-containing oil-based filter cake using a biodegradable acid solution”, US Patent 20210222050 A1,
• Elkatatny, S.M., “Weighted Drilling Fluid Containing Organophilic Phyllosilicate”, US 20210054255 A1, 2021.
• Elkatatny, S.M., Mahmoud, A., Ahmed, A., “Cement compositions containing phyllosilicate and methods of use,” US 20210017083 A1,
• Bageri, B., Mahmoud, M., Elkatatny, S.M., Patil, S., “Iron control composition, make, and use in carbonate stimulation”, US 20200332178 A1,
• Mohamed A., Elkatatny, S.M., Mahmoud, M., “Water-based drilling, completion, and workover fluid composition with reduced barite sagging”, US 20200317981 A1,
• Mahmoud, M., and Elkatatny, S.M., “Method of Removing Oil-Based Barite Filter Cake,” US 20200131432 A1, 2020.
• Mohamed A., Mahmoud, M., Elkatatny, S.M., and Sultan, A., “Method of Producing Sodium Bentonite,” US 20200102226 A1, 2020
• Mahmoud, M., and Elkatatny, S.M., “ Method for Removing Iron Sulfide and Calcium Carbonate Scale,” US 20200087568 A1, 2020
• Elkatatny, S.M. Fadhel, R., and Mehibish, Y. 2019. Automated March Funnel for Oil and Gas Field Operations. US2019 /0323935 A1,
• Elkatatny, S.M., and Mahmoud, M. 2019. Method of drilling a subterranean geological formation. US20190270925A1
• Elkatatny, S.M., Shawabkeh, R., and Mahmoud, M. 2019. Method for Drilling A Wellbore with A Weighted Hydrogen Sulfide Scavenger Fluid. US 2019 /0218442A1.
• Elkatatny, S.M., Shawabkeh, R., and Mahmoud, M. 2019. Method for drilling a hydrogen Sulfide-containing formation. US 2019 /0218441A1.
• Fadhel, R. and Elkatatny, S.M. 2019. System, apparatus, and method for determing characteristics of rock samples. US 162644A1.
• Mahmoud, M., and Elkatatny, S. M., and Ali, A. 2019. Method of Forming a Mixture of Barite Particles, Chelating Agent and Bentonite for Fracturing. US 2019/0119562A1.
• Mahmoud, M., and Elkatatny, S. M., and Ali, A. 2019. Method for Making a Drilling Fluid Composition and Fracturing a Subterranean Formation. US 2019/0119561A1.
• Elkatatny, S.M., Shawabkeh, R., and Mahmoud, M. 2019. Method of drilling a subterranean geological formation with a drilling fluid composition comprising copper nitrate. US 2019 /0100684A1.
• Mahmoud, M., Elkatatny, S. M., and Mohammad, M. 2019. Fracturing fluid composition containing an acrylamido-tert-butylsulfonate polymer. US 2019 / 0055463A1.
• Mahmoud, M., and Elkatatny, S. M., and Ali, A. 2019. Method of Producing Micronized Barite Particles. US 2019 /0023976A1.
• Mahmoud, M., Elkatatny, S. M., and Mohammad, M. 2019. Organic acid Fracturing Fluid Composition. US20190016945A1.
• Mahmoud, M., and Elkatatny, S. M. 2019. Composition and Method for Removing Oil – Based Filter Cake. US 2019/0016947A1.
• Elkatatny, S. M., and Mahmoud, M. 2017. Method for Evaluating the Effectiveness of Matrix Acidizing in a Subterranean Formation. US2017/0138190A1
• Mahmoud, M., and Elkatatny, S. M., and Ali, A. 2017. Method of Fracturing a Subterranean Formation Using Micronized Barite Particles. US 2017/0190955A1.
• Al-Moajil, A., Elkatatny, S. M., and Nasr-El-Din, H. 2014. New Environmentally Friendly Fluid to Remove Mn₃O₄ Filter Cake. WO 2014/062992 Al.
• Nasr-El-Din, H., De Wolf, C., and Elkatatny, S. M. 2013. One Step Process to Remove Filter Cake and Treat a Subterranean Formation with a Chelating Agent. WO 2013/160334 Al.

Publication:

2021

• Ahmed, A., Basfar, S., Sollin, T., and Elkatatny, S.M., Prevention of Hematite Settling in Water-Based Mud at High-Pressure and High-Temperature”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.1c03818
• Adjei, S., Elkatatny, S.M., Sarmah, P., Chinea, C., “Investigation of Dehydroxylated Sodium Bentonite as a Pozzolanic Extender in Oil-Well Cement”, SPE Drilling & Completion, 2021. https://doi.org/10.2118/205487-PA
• Alsaihati, A., Elkatatny, S.M., “Real-Time Prediction of Acoustic Velocities while Drilling Vertical Complex Lithology Using AI Technique”, Petrophysicists, 2021. https://doi.org/10.30632/PJV62N3-2021a2
• Ibrahim, A., Al Dhaif, R., Elkatatny, S.M., and Al Shehri, D., “Applications of Artificial Intelligence to Predict Oil Rate for High Gas Oil Ratio and Water Cut Wells”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.1c01676 
• Ahmed, A., Basfar, S., Elkatatny, S.M., “Sagging Prevention for Hematite-Based Invert Emulsion Mud”, Journal of Energy Resources Technology, 2021. https://doi.org/10.1115/1.4052181
• Adjei, S., Elkatatny, S.M., “Overview of the lightweight oil-well cement mechanical properties for shallow wells”, Journal of Petroleum Science and Engineering, 2021. https://doi.org/10.1016/j.petrol.2020.108201
• Elkatatny, S.M., “Improved Carbonation Resistance and Durability of Saudi Class G Oil Well Cement Sheath in CO2 Rich Environments Using Laponite”, Journal of Petroleum Science and Engineering, 196:107812 2021. https://doi.org/10.1016/j.petrol.2020.107812
• Gowida, A., Elkatatny, S.M., Gamal, H., “Unconfined Compressive Strength (UCS) Prediction in Real-Time While Drilling Using Artificial Intelligence Tools”, Neural Computing and Applications, 2021. https://doi.org/10.1007/s00521-020-05546-7
• Mahmoud, A., AlAbduljabar, A., Elkatatny, S.M., “Artificial neural network model for real-time prediction of the rate of penetration while horizontally drilling natural gas-bearing sandstone formations”, Arabian Journal of Geosciences. 2021. https://doi.org/10.1007/s12517-021-06457-0
• Ahmed, A., Elkatatny, S.M., Zaki, A., “Fracture Pressure Prediction Using Surface Drilling Parameters by Artificial Intelligence Techniques” Journal of Energy Resources Technology, 2021. https://doi.org/10.1115/1.4049125 
• Alsaihati, A., Elkatatny, S.M., Mahmoud, A., Abdulraheem, A., “Use of machine learning and data analytics to detect downhole abnormalities while drilling horizontal wells, with real case study,” Journal of Energy Resources Technology, 143(4): 043201, 2021. https://doi.org/10.1115/1.4048070  
• Alsaihati, A., Elkatatny, S.M., Abdulraheem, A., “Real-Time Prediction of Equivalent Circulation Density for Horizontal Wells Using Intelligent Machines”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.0c05570
• Gamal, H., Elkatatny, S.M., Alafnan, S., Bahgat, M., “Development of A Unique Organic Acid Solution for Removing Composite Field Scales”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.0c04335
• Gamal, H., Suleymanov, V., Elkatatny, S.M., Adebayo, A., Bageri, B., “The Impact of Weighting Materials on Carbonate Pore System and Rock Characteristics”, Canadian Journal of Chemical Engineering. 2021. https://doi.org/10.1002/cjce.24092
• Bageri, B., Ahmed, A., Aljaberi, J., Elkatatny, S.M., Patil, S., “Effect of Perlite Particles on the Properties of Oil-Well Class G Cement”, Journal of Petroleum Science and Engineering, 2021. https://doi.org/10.1016/j.petrol.2021.108344
• Gamal, H., Bageri, B., Elkatatny, S.M., Shirish, P., “Investigating the Alteration of Sandstone Pore System and Rock Features by Role of Weighting Materials”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.0c06256
• Adjei, S., Bageri, B., Elkatatny, S.M., Adebayo, A., “Effect of Perlite Particles on Barite Cement Properties”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.0c05699
• Elkatatny, S.M., “Real-time prediction of rate of penetration while drilling complex lithologies using artificial intelligence techniques”. Ain Shams Engineering Journal. 2020. https://doi.org/10.1016/j.asej.2020.05.014  
• Alsabaa, A., Gamal, H., Elkatatny, S.M., Abdulraheem, A., “New Correlations for Better Monitoring the All-Oil Mud Rheology by Employing Artificial Neural Networks”, Flow Measurement and Instrumentation, 2021. https://doi.org/10.1016/j.flowmeasinst.2021.101914
• Elkatatny, S.M., “Real-Time Prediction of the Dynamic Young’s Modulus from the Drilling Parameters Using the Artificial Neural Networks”, Arabian Journal for Science and Engineering, 2021. https://doi.org/10.1007/s13369-021-05465-2
• Mahmoud, A., Alabduljabbar, A., Elkatatny, S.M., “Application of Machine Learning Models for Real-Time Prediction of the Formation Lithology and Tops from the Drilling Parameters”, Journal of Petroleum Science and Engineering, 2021. https://doi.org/10.1016/j.petrol.2021.108574  
• Gamal, H., Elkatatny, S.M., Adebayo, A., “Influence of Mud Filtrate on the Pore System of Different Sandstone Rocks”, Journal of Petroleum Science and Engineering, 2021. https://doi.org/10.1016/j.petrol.2021.108595
• Ahmed, A., Elkatatny, S.M., Gamal, H., Abdulraheem, A., “Artificial Intelligence Models for Real-Time Bulk Density Prediction of Vertical Complex Lithology Using the Drilling Parameters”, Arabian Journal for Science and Engineering, 2021. https://doi.org/10.1007/s13369-021-05537-3
• Ahmed, A., Elkatatny, S.M., Alafnan, S., “Applications of Biodiesel in Drilling Fluids”, Geofluids, 2021. https://doi.org/10.1155/2021/5565897
• Ahmed, A., Elkatatny, S.M., Abdulraheem, A., “Real-Time Static Poisson’s Ratio Prediction of Vertical Complex Lithology from Drilling Parameters Using Artificial Intelligence Models”, Arabian Journal of Geosciences. 2021. https://doi.org/10.1007/s12517-021-06833-w  
• Mohamed, A., Basfar, S., Elkatatny, S.M., Al-Majed, A., “Enhancement of Static and Dynamic Sag Performance of Water-Based Mud Using a Synthetic Clay”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.0c06186
• Gamal, H., Al-Afnan, S., Elkatatny, S.M., Bahgat, M., “Barium Sulfate Scale Removal at Low-Temperature”, Geofluids, 2021. https://doi.org/10.1155/2021/5527818
• Gomaa, I., Gowida, A., Elkatatny, S.M., “The Prediction of Wellhead Pressure for Multiphase Flow of Vertical Wells Using Artificial Neural Networks”, Arabian Journal of Geosciences. 2021. https://doi.org/10.1007/s12517-021-07099-y
• Adjei, S., Elkatatny, S.M., Sarmah, P., Abdelfattah, A., “Evaluation of calcined Saudi calcium bentonite as cement replacement in low-density oil-well cement system”, Journal of Petroleum Science and Engineering, 2021. https://doi.org/10.1016/j.petrol.2021.108901
• Ahmed, A., Elkatatny, S.M., Alsaihati, A., “Applications of Artificial Intelligence for Static Poisson’s Ratio Prediction While Drilling”, Computational Intelligence and Neuroscience, 2021. https://doi.org/10.1155/2021/9956128
• Muhammed, N., Olayiwola, T., Elkatatny, S.M., Haq, B., Patil, S., “Insights into the Application of Surfactants and Nanomaterials as Shale Inhibitors for Water-based Drilling Fluid: A Review”, Journal of Natural Gas Science and Engineering, 2021. https://doi.org/10.1016/j.jngse.2021.103987
• Abdelaal, A., Elkatatny, S.M., Abdulraheem, A., “Data-Driven Modeling Approach for Pore Pressure Gradient Prediction while Drilling from Drilling Parameters”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.1c01340
• Bageri, B., Gamal, H., Elkatatny, S.M., Patil, S., “Effect of Different Weighting Agents on Drilling Fluid and Filter Cake Properties in Sandstone Formations”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.1c02129
• Alsabaa, A., and Elkatatny, S.M., “Improved Tracking of the Rheological Properties of Max-Bridge Oil-Based Mud Using Artificial Neural Networks”, ACS Omega. 2021. https://doi.org/10.1021/acsomega.1c01230
• Adjei, S., Elkatatny, S.M., Al Majid, A., “Effect of Bentonite Prehydration Time on the Stability of Lightweight Oil-Well Cement System”, Geofluids, 2021. https://doi.org/10.1155/2021/9957159
• Gamal, H., Alsaihati, A., Elkatatny, S.M., Abdulraheem, A., “Intelligent Prediction for Rock Porosity While Drilling Complex Lithology in Real-Time”, Computational Intelligence and Neuroscience, 2021. https://doi.org/10.1155/2021/9960478
• Siddig, O., Gamal, H., Elkatatny, S.M., Abdulraheem, A., “Real-time Prediction of Poisson’s Ratio from Drilling Parameters Using Machine Learning Tools”, Scientific Report, 2021.  https://doi.org/10.1038/s41598-021-92082-6
• Ibrahim, A., and Elkatatny, S.M., “Real-Time GR logs Estimation While Drilling Using Surface Drilling Data; AI Application”, Arabian Journal for Science and Engineering, 2021. https://doi.org/10.1007/s13369-021-05854-7
• Gamal, H., and Elkatatny, S.M., “Prediction Model Based on an Artificial Neural Network for Rock Porosity”, Arabian Journal for Science and Engineering, 2021. https://doi.org/10.1007/s13369-021-05912-0  
• Gamal, H., Alsaihati, A., Elkatatny, S.M., Haidary, S., Abdulraheem, A., “Rock Strength Prediction in Real-Time while Drilling Employing Random Forest and Functional Network Techniques”, Journal of Energy Resources Technology, 2021. (IF = 2.759, Q3), https://doi.org/10.1115/1.4050843  
• Muhammed, N., Olayiwola, T., and Elkatatny, S.M., “A review on clay chemistry, characterization and shale inhibitors for water-based drilling fluids”, Journal of Petroleum Science and Engineering, 2021. https://doi.org/10.1016/j.petrol.2021.109043
• Osman, H., Ali, A., Mahmoud, A., Elkatatny, S.M., “Estimation of the Rate of Penetration while Horizontally Drilling Carbonate Formation Using Random Forest”, Journal of Energy Resources Technology, 2021. https://doi.org/10.1115/1.4050778
• Mahmoud, A., Elkatatny, S.M., ” 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 “, Journal of Energy Resources Technology, 2021. https://doi.org/10.1115/1.4050777
• Siddig, O., Mahmoud, A., Elkatatny, S.M., Soupios, P., “Utilization of Artificial Neural Network in Predicting the Total Organic Carbon in Devonian Shale Using the Conventional Well Logs and the Spectral Gamma-Ray”, Computational Intelligence and Neuroscience, 2021. https://doi.org/10.1155/2021/2486046

2020

• Elkatatny, S.M. Gajbhiye, R., Ahmed, A. Mahmoud, A.A., “Enhancing the Cement Quality Using Polypropylene Fibers,” Journal of Petroleum Exploration and Production Technology. 10, pages1097–1107. 2020. https://doi.org/10.1007/s13202-019-00804-4
• Elkatatny, S.M., Ahmed, A., Abughaban, M., Patil, S., “Deep Illustration for Loss of Circulation while Drilling; Review Paper,” Arabian Journal for Science and Engineering. 45, pages483–499. 2020. https://doi.org/10.1007/s13369-019-04315-6 4  
• Gowida, A., Elkatatny, S.M., Al-Afnan, S., and Abdulraheem, A., “New Computational Artificial Intelligence Models for Generating Synthetic Formation Bulk Density Logs While Drilling,” Sustainability. 12(2), 686. 2020. https://doi.org/10.3390/su12020686  
• Mahmoud, A.A., and Elkatatny, S.M., “Improving Class G Cement Carbonation Resistance for Applications of Geologic Carbon Sequestration Using Synthetic Polypropylene Fiber,” Journal of Natural Gas Science and Engineering. 76: 103184. 2020. https://doi.org/10.1016/j.jngse.2020.103184
• Mohamed, A., Elkatatny, S.M., Al-Majed, A., “Removal of Calcium Carbonate Water-Based Filter Cake Using a Green Biodegradable Acid,” Sustainability. 12(3), 994. 2020. https://doi.org/10.3390/su12030994
• Al-AbdulJabbar, A., Mahmoud, A., Elkatatny, S.M., Moussa, T., Al-Shehri, D., Abughaban, M., Al-Yami, A., “Prediction of the Rate Penetration while Drilling Horizontal Carbonate Reservoirs Using a Self-Adaptive Artificial Neural Network Technique,” Sustainability. 12(4), 1376. 2020. https://doi.org/10.3390/su12041376
• Gomaa, I., Elkatatny, S.M., and Abdulraheem, A., “Real-Time Determination of Rheological Properties of High Over-Balanced Drilling Fluid Used for Drilling Ultra-Deep Gas Wells Using Artificial Neural Network,” Journal of Natural Gas Science and Engineering. 77, 103224. 2020. https://doi.org/10.1016/j.jngse.2020.103224
• Mahmoud, A., Elkatatny, S.M., Elzenary, M., “New Hybrid Hole Cleaning Model for Vertical and Deviated Wells,” Journal of Energy Resources Technology. 142(3): 034501. 2020. https://doi.org/10.1115/1.4045169   
• Mahmoud, A., Elkatatny, S.M., Al Shehri, D., “Application of machine Learning for Evaluation of the Static Young’s Modulus for Sandstone Reservoirs,” Sustainability. 12(5), 1880. 2020. https://doi.org/10.3390/su12051880
• Bageri, B. Benaafi. M., Mahmoud, M., Shirish, P. Mohamed, A., Elkatatny, S.M., “Effect of Formation Cutting’s Mechanical Properties on Drilling Fluid Properties during Drilling Operations,” Arabian Journal for Science and Engineering. 2020. https://doi.org/10.1007/s13369-020-04424-7
• Elkatatny, S.M., “Artificial Neural Network Models for Real-Time Prediction of the Rheological Properties of NaCl Mud. Arabian Journal of Geosciences. 13, 257. 2020. https://doi.org/10.1007/s12517-020-5268-1
• Alsabaa, A., Gamal, G., Elkatatny, S.M., and Abdulraheem, A., “Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System,” Sensors. 20(6), 1669. 2020. https://doi.org/10.3390/s20061669
• Gamal, G., Elkatatny, S.M., Al Shehri, D. and Bahgat, M., “A Novel Non Corrosive Dissolver for Sulfate and Sulfide Mixture Composite Scale at Low-Temperature Conditions,” Sustainability. 12(6), 2455. 2020. https://doi.org/10.3390/su12062455  
• Mohamed, A., Al-Afnan, S., Elkatatny, S.M., Hussein, I., “Prevention of Barite Sag in Water-Based Drilling Fluids by A Urea-Based Additive for Drilling Deep Formations,” Sustainability, 12(7), 2719, 2020. https://doi.org/10.3390/su12072719
• Elkatatny, S.M., AL-Abduljabbar, A., Abdelgawad, K., “A New Model for Predicting Rate of Penetration Using an Artificial Neural Network,” Sensors. 20(7), 2058; 2020. https://doi.org/10.3390/s20072058 (IF =, Q1).
• Mohamed. A., Elkatatny, S.M., Shawabkeh, R., and Al-Majed, A., “Evaluating the Effect of Using Micronised Barite on the Properties of Water-Based Drilling Fluids,” International Journal of Oil Gas and Coal Technology. 2020. https://doi.org/10.1504/IJOGCT.2019.10023631  
• Siddig, O., Al-Afnan, S., Elkatatny, S.M., and Bahgat, M., “Novel Cake Washer for Removing Oil-Based Calcium Carbonate Filter Cake in Horizontal Wells,” Sustainability, 12(8), 3427, 2020. https://doi.org/10.3390/su12083427
• Basfar, S., Mohamed, A., Elkatatny, S.M., “Barite-Micromax Mixture, an Enhanced Weighting Agent for the Elimination of Barite Sag in Invert Emulsion Drilling Fluids,” Journal of Petroleum Exploration and Production Technology, 10, 2427–2435, 2020. https://doi.org/10.1007/s13202-020-00892-7  
• Siddig, O., Mahmoud, A., Elkatatny, S.M., “A Review of Different Approaches for Water-Based Drilling Fluid Filter Cake Removal,” Journal of Petroleum Science and Engineering, 192, 107346, 2020. https://doi.org/10.1016/j.petrol.2020.107346  
• Gowida, A., Elkatatny, SM., Abdelgawad, A., Gajbhiye, R., “Newly Developed Correlations to Predict the Rheological Parameters of High-Bentonite Drilling Fluid Using Neural Networks,” Sensors, 20(10), 2787; https://doi.org/10.3390/s20102787   
• Gamal, H., Elkatatny, S.M., Abdulraheem, A., Al-Majed, A., “Exposure Time Impact on the Geomechanical Characteristics of Sandstone Formation During Horizontal Drilling. Molecules, 25(11), 2480, 2020. https://doi.org/10.3390/molecules25112480
• AL-Abduljabbar, A., Alazani, K., and Elkatatny, S.M., “Estimation of Reservoir Porosity from Drilling Parameters Using Artificial Neural Networks,” Petrophysics. 61(3):318-330, 2020. https://doi.org/10.30632/PJV61N3-2020a5
• Basfar, S., Elkatatny, S.M., “Prevention of Hematite Settling Using Synthetic Layered Silicate while Drilling High-Pressure Wells,” Arabian Journal of Geosciences. 2020. https://doi.org/10.1007/s12517-020-05516-2
• Elkatatny, S.M., “Real-Time Prediction of Rate of Penetration in S-Shape Well Profile Using Artificial Intelligence Models”, Sensors, 20(12), 3506. 2020. https://doi.org/10.3390/s20123506
• Gowida, A., and Elkatatny, S.M., “Prediction of Sonic Waves Transit-Time from Drilling Parameters while Horizontal Drilling in Carbonate Rocks Using Neural Network,” Petrophysics, 61, 5: 482 – 494, 2020. https://doi.org/10.30632/PJV61N5-2020a6
• Al-AbdulJabbar, A., Gamal, H., Elkatatny, S.M., “Application of Artificial Neural Network to Predict the Rate of Penetration for S-shape Well Profile”, Arabian Journal of Geosciences, 13, 784 2020. (IF = 1.141, Q4). https://doi.org/10.1007/s12517-020-05821-w
• Hassan, A., Elkatany, S.M., and Al-Majed, A, “Coupling Rate of Penetration and Mechanical Specific Energy to Improve the Efficiency of Drilling Gas Wells”, Journal of Natural Gas Science and Engineering, 38:103558, 2020.  https://doi.org/10.1016/j.jngse.2020.103558
• Ahmed, A., Elkatatny, S.M., Zaki, A., Abughaban, M., and Abdulraheem, A., “Application of Artificial Intelligence Techniques in Predicting the Lost Circulation Zones Using Drilling Sensors”, Journal of Sensors, 8851065, 2020.  https://doi.org/10.1155/2020/8851065
• Ahmed, A., Mahmoud, A., Elkatatny, S.M., Gajbhiye, R., “Improving Saudi Class G Oil-Well Cement Properties Using Tire Waste Material”, ACS Omega. 2020. https://doi.org/10.1021/acsomega.0c04270  
• Ahmed, A., Elkatatny, S.M., Adjei, S., Al-Majed, A. “Influence of Weighting Materials on the Properties of Oil-Well Cement”, ACS Omega. 2020.  https://doi.org/10.1021/acsomega.0c04186
• Ahmed, A., Alsaihati, A., Elkatatny, S.M., “An Overview of the Common Water-Based Formulations Used for Drilling Onshore Gas Wells in The Middle East”, Arabian Journal for Science and Engineering, 2020. https://doi.org/10.1007/s13369-020-05107-z
• Ahmed, A., Basfar, S., Elkatatny, S.M., “Stability Enhancing of Water-Based Drilling Fluid at High Pressure High Temperature”, Arabian Journal for Science and Engineering, 2020. https://doi.org/10.1007/s13369-020-05126-w
• Adjei, S., Elkatatny, S.M., Abdelfattah, A., “New lightweight cement formulation for shallow oil and gas wells”, ACS Omega. 2020. https://doi.org/10.1021/acsomega.0c05174   
• Mohamed, A., Basfar, S., Elkatatny, S.M., Bageri, B., “Impact of Perlite on the Properties and Stability of Water-Based Mud in Elevated-Temperature Applications”, ACS Omega. 2020. https://doi.org/10.1021/acsomega.0c04853
• Ahmed, A., Mahmoud, A., Elkatatny, S.M., “The Use of Granite Waste Material as an Alternative for Silica Flour in Oil-Well Cementing”, ACS Omega. 2020. https://doi.org/10.1021/acsomega.0c04261
• Ahmed, A., Basfar, S., Elkatatny, S.M., Gajbhiye, R., “Enhancing Hematite-Based Invert Emulsion Mud Stability at High-Pressure High-Temperature Wells”, ACS Omega. https://doi.org/10.1021/acsomega.0c05068
• Adjei, S., and Elkatatny, S.M., “A highlight on the application of industrial and agro wastes in cement-based materials”, Journal of Petroleum Science and Engineering, 195, 107911, 2020. https://doi.org/10.1016/j.petrol.2020.107911
• Mahmoud, A., Elkatatny, S.M., “Improved durability of Saudi Class G oil-well cement sheath in CO2 rich environments using olive waste”, Construction and Building Materials, 262, 120623, 2020. https://doi.org/10.1016/j.conbuildmat.2020.120623
• Gamal, H., Elkatatny, S.M., Adebayo, A., Bageri, B., “Effect of Exposure Time on the Compressive Strength and Formation Damage of Sandstone while Drilling Horizontal Wells”, Journal of Petroleum Science and Engineering, 195, 107590, 2020. https://doi.org/10.1016/j.petrol.2020.107590
• Gamal, H., Elkatatny, S.M., Abdulraheem, A., “Effect of Filtrate Fluid of Water-based Mud on Sandstone Rock Strength and Elastic Moduli”, ACS Omega. https://doi.org/10.1021/acsomega.0c05067

Conference Papers

• Gamal, H., Elkatatny, S.M., and Alsabaa, A., “Generation of a Complete Profile for Porosity Log while Drilling Complex Lithology by Employing the Artificial Intelligence”, Paper will be presented at the SPE Symposium: Artificial Intelligence – Towards a Resilient and Efficient Energy Industry, Al Khobar, Saudi Arabia, 18 – 19 October 2021.
• Mahmoud, A.A., Elkatatny, S.M., Ali, A., Abdulraheem, A., Abouelresh, M., “New Robust Models To Evaluate The Total Organic Carbon Using Fuzzy Logic”, Paper accepted for the 14th Middle East Geosciences Conference and Exhibition, Bahrain, October, 4 – 7, 2021.
• Mahmoud, A.A., Al-AbdulJabbar, A., Elkatatny, S.M., “Application of Machine Learning Models for Real-Time Prediction of the Formations Lithology and Top from the Drilling Parameters”, Paper accepted for the international conference on Oil & Gas Engineering and Technology, Kuching, Malaysia, July 13 -15, 2021.
• Abelaal, A., and Elkatatny, S.M., Abdulraheem, A., “Real-Time Formation Pressure Prediction While Drilling from Mechanical and Hydraulic Drilling Parameters Using Artificial Intelligence”, Paper ARAMA 21-1987 will be presented at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
• Ahmed, A., Bageri, B., Aljaberi, J., and Elkatatny, S.M., Patil, S. “Improvement of Well Cementing Properties Using Perlite Particles”, Paper ARAMA 21-1666 will be presented at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
• Ahmed, A., Mahmoud, A., and Elkatatny, S.M., Al-Majed, A., “Evaluation of Granite Waste and Silica Flour in Oil Well Cementing”, Paper ARAMA 21-1663 will be presented at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
• Siddig, O., Gamal, H., and Elkatatny, S.M., Abdulraheem, A., “Novel Prediction of Poisson`s Ratio on Real-time from Drilling Parameters Using Artificial Intelligence”, Paper ARAMA 21-1664 will be presented at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
• Ahmed, A., and Elkatatny, S.M., Gamal, H., Abdulraheem, A., “Bulk Density Prediction While Drilling Complex Lithology Using Functional Networks Model”, Paper ARMA 21-1668 will be presented at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
• Gamal, H., Abdelaal, Al., Alsaihati, A., and Elkatatny, S.M., Abdulraheem, A., “Artificial Neural Network Model for Predicting the Equivalent Circulating Density from Drilling Parameters”, Paper ARMA 21-1916 will be presented at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
• Gamal, H., Gowida, A., and Elkatatny, S.M., Abdulraheem, A., Haidary, S., “Generating the Rock Strength Profile While Drilling Complex Lithologies in real-time by Employing Artificial Neural Networks”, Paper ARMA 21-1914 will be presented at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
• Gamal, H., and Elkatatny, S.M., Bageri, B., Adebayo, A., Babu, R., Hussaini, S., “Extended Exposure Time Control on Sandstone Pore System and Rock Strength While Drilling Horizontal Wells”, Paper ARMA 21-1918 will be present at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
• Mahmoud, A., Gamal, H., Mutrif, O., and Elkatatny, S.M., “Real-Time Prediction of the Dynamic Young’s Modulus from the Drilling Parameters Using the Artificial Neural Networks”, Paper ARMA 21-1907 will be present at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
• Mahmoud, A., Elzenary, M, El-Malki, M., and Elkatatny, S.M., Abughaban, M., “New Hybrid Hole Cleaning Model for Vertical and Deviated Wells”, Paper ARMA 21-1904 will present at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
• Mahmoud, A., Elkatatny, S.M., Al Shehri, D., “Estimation of the Static Young’s Modulus for Sandstone Reservoirs Using Different Artificial Intelligence Techniques and Based on Well Logs”, Paper ARMA 21-1901 will present at the ARMA 55th US Rock Mechanics / Geomechanics Symposium to be held in Houston, Texas on 20-23 June 2021.
• Gamal, H., Elkatatny, S.M., Al Shehri, D., and Bahgat, M., “Dissolution of Sulfates and Sulfides Field Scales by Developed Scale Dissolver”, Paper SPE-205038-MS will be presented at the SPE International Oilfield Corrosion Conference and Exhibition, in Aberdeen, Scotland, United Kingdom, 16-17 June 2021.
• Gamal, H., Elkatatny, S.M., Al-Afnan, S., and Bahgat, M., “Toward Developing Non-Corrosive Acid System for Complex Scales Removal”, Paper IPTC-21400-MS will be presented at the International Petroleum Technology Conference (IPTC), 23 March-1 April 2021. Virtual.
• Gamal, H., Elkatatny, S.M., Al-Afnan, S., and Bahgat, M., “Increasing ESP Lifetime by Employing Novel Non-Corrosive Acid System for Scales Removal”, Paper SPE-204405-MS will be presented at the SPE/ICoTA Well Intervention Conference & Exhibition, The Woodlands, Texas, USA. 23-24 March 2021.
• Ahmed, A., Gowida, A., Elkatatny, S.M., Al Shehri, D., Abdulraheem, A., “Prediction of Lost Circulation Zones Using Artificial Neural Network and Functional Network”, Paper SPE-200047-MS, will be presented at Oman Petroleum & Energy Show, Muscat, Oman, 9-11 March 2021.
• Mahmoud, A.A., Elkatatny, S.M., Ali, A. and Moussa, T., “A Self-adaptive Artificial Neural Network Technique to Estimate Static Young’s Modulus Based on Well Logs”, Paper SPE-200139-MS will be presented at Oman Petroleum & Energy Show, Muscat, Oman, 9-11 March 2021.https://doi.org/10.2118/203268-MS
• Ahmed, A., Elkatatny, S.M., Abdulraheem, A., “Prediction of Lost Circulation Zones Using Artificial Neural Network and Functional Network”, Paper SPE-203268-MS presented at Abu Dhabi International Petroleum Exhibition & Conference, November 2020. https://doi.org/10.2118/203268-MS
• Gamal, H., Elkatatny, S.M., Abdulraheem, A., “Rock Drillability Intelligent Prediction for a Complex Lithology Using Artificial Neural Network”, Paper SPE-203268-MS presented at Abu Dhabi International Petroleum Exhibition & Conference, November 2020.
• Al Gharbi, S., Al-Majed, A., Abdulraheem, A., Patil, S., Elkatatny, S.M., “Using Data-Mining CRISP-DM Methodology to Predict Drilling Troubles in Real-Time”, Paper SPE-202326-MS presented at SPE Asia Pacific Oil & Gas Conference and Exhibition, November 2020. https://doi.org/10.2118/202326-MS
• Basfar, S.A., Elkatatny, S.M., and Mohamed, A., “Preventing Barite Sagging Using New Synthetic Layered Silicate in HP/HT Water-Based Mud”, Paper ARMA-2020-1702 presented at the 54th U.S. Rock Mechanics/Geomechanics Symposium, 28 June – 1 July, 2020.
• Alsabaa, A., Gamal, H.A., Elkatatny, S.M., and Abdulraheem, A., “Real-Time Prediction of Rheological Properties of All-Oil Mud Using Artificial Intelligence”, Paper ARMA-2020-1645 presented at the 54th U.S. Rock Mechanics/Geomechanics Symposium, 28 June – 1 July, 2020.
• Mahmoud, A.A., Elkatatny, S.M., Al-AbdulJabbar, A., Moussa, T., Gamal, H., and Shehri, D.A., “Artificial Neural Networks Model for Prediction of the Rate of Penetration While Horizontally Drilling Carbonate Formations”, Paper ARMA-2020-1694 presented at the 54th U.S. Rock Mechanics/Geomechanics Symposium, 28 June – 1 July, 2020.
• Mahmoud, A.A., Elkatatny, S.M., Alsabaa, A., and Shehri, D.A., “Functional Neural Networks-Based Model for Prediction of the Static Young’s Modulus for Sandstone Formations”, Paper ARMA-2020-1689 presented at the 54th U.S. Rock Mechanics/Geomechanics Symposium, 28 June – 1 July, 2020.
• Gamal, H., Abdelgawad, K., Elkatatny, S.M. 2020. New Environmentally Friendly Solution for Iron Scale Removal. Paper IPTC-19800-MS presented at International Petroleum Technology Conference, Dhahran, Kingdom of Saudi Arabia, 13-15 January.
• Gowida, A., Elkatatny, S.M., Abdulraheem, A., and Shehri, D. 2020. Synthetic Well-Log Generation: New Approach to Predict Formation Bulk Density While Drilling Using Neural Networks and Fuzzy Logic. Paper IPTC-19787-MS presented at International Petroleum Technology Conference, Dhahran, Kingdom of Saudi Arabia, 13-15 January.
• Ahmed, A., Elkatatny, S.M., Abdulraheem, A., Aboughaban, M. 2020. Prediction of Lost Circulation Zones using Support Vector Machine and Radial Basis Function. Paper IPTC-19628-MS presented at International Petroleum Technology Conference, Dhahran, Kingdom of Saudi Arabia, 13-15 January.
• Mahmoud, A., Elkatatny, S.M., Ali, A., Abdulraheem, A. Abouelresh, M. 2020. Estimation of the Total Organic Carbon Using Functional Neural Networks and Support Vector Machine. Paper IPTC-19659-MS presented at International Petroleum Technology Conference, Dhahran, Kingdom of Saudi Arabia, 13-15 January.
• Gowida, A., Elkatatny, S.M., Moussa, T. 2020. Comparative Analysis Between Different Artificial Based Models for Predicting Static Poisson’s Ratio of Sandstone Formations. Paper IPTC-20208-MS presented at International Petroleum Technology Conference, Dhahran, Kingdom of Saudi Arabia, 13-15 January.
• Basfar, S., Elkatatny, S.M., Al-Majed, A., and Shehri, D. 2020. Prevention of Barite Sagging for Invert Emulsion Drilling Fluid While Drilling High-Pressure High-Temperature Wells. Paper IPTC-20095-MS presented at International Petroleum Technology Conference, Dhahran, Kingdom of Saudi Arabia, 13-15 January.