926 results on '"Elkatatny, Salaheldin"'
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52. The role of overbalance pressure on mud induced alteration of sandstone rock pore system
53. Real-time prediction of formation pressure gradient while drilling
54. Machine Learning Applications in the Petroleum Industry
55. Bulk density prediction while drilling vertical complex lithology using artificial intelligence
56. Prevention of hematite settling using perlite in water-based drilling fluid
57. Vermiculite for enhancement of barite stability in water-based mud at elevated temperature
58. Real-time prediction of in-situ stresses while drilling using surface drilling parameters from gas reservoir
59. Artificial neural networks-based correlation for evaluating the rate of penetration in a vertical carbonate formation for an entire oil field
60. Geopolymer as the future oil-well cement: A review
61. Rate of penetration prediction while drilling vertical complex lithology using an ensemble learning model
62. A review of the various treatments of oil-based drilling fluids filter cakes
63. Real-time prediction of tensile and uniaxial compressive strength from artificial intelligence-based correlations
64. Review of Remedial Cementing: Techniques, Innovations, and Practical Insights
65. Drilling Data Based Approach for Real-Time Rate of Penetration Prediction for Motorized Bottom Hole Assembly Using Artificial Intelligence
66. Challenges of Cementing in Extreme Environments
67. Red Mud-Based Geopolymer Cement for Sustainable Oil Well Construction: Opportunities and Challenges
68. Novel Machine Learning Approach for Predicting the Gel Strength of the Drilling Fluid While Drilling
69. Automating Prediction of the Formation Tops and Lithology Changes in Real-Time While Drilling Using Artificial Neural Networks
70. A New Empirical Correlation for Pore Pressure Prediction Based on Artificial Neural Networks Applied to a Real Case Study
71. Evaluating the Effect of Claytone-EM on the Performance of Oil-Based Drilling Fluids
72. Artificial intelligence models for real-time synthetic gamma-ray log generation using surface drilling data in Middle East Oil Field
73. A review on clay chemistry, characterization and shale inhibitors for water-based drilling fluids
74. Workflow to build a continuous static elastic moduli profile from the drilling data using artificial intelligence techniques
75. Insights into the application of surfactants and nanomaterials as shale inhibitors for water-based drilling fluid: A review
76. New generalized correlations for oil rate predictions through wellhead chokes for high GOR reservoirs
77. Empirical correlation for formation resistivity prediction using machine learning
78. Real-time prediction of rate of penetration while drilling complex lithologies using artificial intelligence techniques
79. Stability Enhancing of Water-Based Drilling Fluid at High Pressure High Temperature
80. An Overview of the Common Water-Based Formulations Used for Drilling Onshore Gas Wells in the Middle East
81. Unconfined compressive strength (UCS) prediction in real-time while drilling using artificial intelligence tools
82. Improved durability of Saudi Class G oil-well cement sheath in CO2 rich environments using olive waste
83. Coupling rate of penetration and mechanical specific energy to Improve the efficiency of drilling gas wells
84. Real-time determination of rheological properties of high over-balanced drilling fluid used for drilling ultra-deep gas wells using artificial neural network
85. Improving class G cement carbonation resistance for applications of geologic carbon sequestration using synthetic polypropylene fiber
86. Foamed Cement Applications in Oil Industry Based on Field Experience: A Comprehensive Review
87. Properties and Performance of Oil Well Slurry and Cement Sheath Incorporating Nano Silica: A Review
88. How Complex Lithology Schemes Affect Drilling Rate Prediction: Machine Learning Study
89. Intelligent Solution for Auto-Detecting Lithology Scheme While Drilling by Machine Learning
90. Impact of Eco-Friendly Drilling Additives on Foaming Properties for Sustainable Underbalanced Foam Drilling Applications
91. The Combined Effect of Nanoclay Powder and Curing Time on the Properties of Class G Cement
92. Investigation of the Impact of Vermiculite on the Properties of Barite-Based Oil Well Cement
93. Prediction of cohesion and friction angle from well-logging data using decision tree and random forest
94. Utilization of adaptive neuro-fuzzy interference system and functional network in prediction of total organic carbon content
95. Machine learning application to predict in-situ stresses from logging data
96. Real-time prediction of Poisson’s ratio from drilling parameters using machine learning tools
97. Machine learning models for generating the drilled porosity log for composite formations
98. Effect of Formation Cutting’s Mechanical Properties on Drilling Fluid Properties During Drilling Operations
99. Enhancing the cement quality using polypropylene fiber
100. Deep Illustration for Loss of Circulation While Drilling
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