94 results on '"Elkatatny, Salaheldin"'
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2. Drilling Data Based Approach for Real-Time Rate of Penetration Prediction for Motorized Bottom Hole Assembly Using Artificial Intelligence
3. Challenges of Cementing in Extreme Environments
4. Red Mud-Based Geopolymer Cement for Sustainable Oil Well Construction: Opportunities and Challenges
5. A Non-Portland Cement System: A Step Forward Towards Sustainability of Oil Well Cementing
6. Machine Learning Advisory System for Mitigating Downhole Vibrations for Horizontal Sections
7. Rig Sensor Data for AI-ML Technology-Based Solutions: Research, Development, and Innovations
8. The Path to Sustainable Cementing: Embracing a Non-Portland Cement Solution for Oil and Gas Wells
9. Auto-Detecting Drilling Vibrations Through Intelligent 4IR Solution
10. The Effect of Graphite on the Properties of Class G Oil Well Cement
11. A Geopolymer System for High Pressure Oil and Gas Well Cementing
12. Viscometer Readings Prediction of Flat Rheology Drilling Fluids Using Adaptive Neuro-Fuzzy Inference System
13. Utilizing Drilling Data and Machine Learning in Real-Time Prediction of Poisson's Ratio
14. Ensemble Machine Learning Model for Predicting Rock Drillability Rate for Composite Lithology
15. Development of Early Oil Well Cement Properties Using Laponite Particles
16. New Robust Model to Evaluate the Total Organic Carbon Using Artificial Neural Networks and Spectral Gamma-Ray
17. A New Rate of Penetration Model Improves Well Drilling Performance
18. Using Data-Mining Crisp-DM Methodology to Predict Drilling Troubles In Real-time
19. A Self-Adaptive Artificial Neural Network Technique to Estimate Static Young's Modulus Based on Well Logs
20. What is the Best Artificial Intelligent Technology to Solve Drilling Challenges?
21. Application of Tire Waste Material to Enhance the Properties of Saudi Class G Oil Well Cement
22. Generation of a Complete Profile for Porosity Log While Drilling Complex Lithology by Employing the Artificial Intelligence
23. Real-Time Prediction for Sonic Slowness Logs from Surface Drilling Data Using Machine Learning Techniques
24. Dissolution of Sulfates and Sulfides Field Scales by Developed Scale Dissolver
25. Using Data-Mining CRISP-DM Methodology to Predict Drilling Troubles in Real-Time
26. Early Anomaly Detection Model Using Random Forest while Drilling Horizontal Wells with a Real Case Study
27. A Statistical Machine Learning Model to Predict Equivalent Circulation Density ECD while Drilling, Based on Principal Components Analysis PCA
28. Increasing ESP Lifetime by Employing Novel Non-Corrosive Acid System for Scales Removal
29. Using Data-Mining CRISP-DM Methodology to Predict Drilling Troubles in Real-Time
30. Prediction of Lost Circulation Zones Using Artificial Neural Network and Functional Network
31. Rock Drillability Intelligent Prediction for a Complex Lithology Using Artificial Neural Network
32. New Robust Model to Evaluate the Total Organic Carbon Using Fuzzy Logic
33. One-Stage Calcium Carbonate Oil-Based Filter Cake Removal Using a New Biodegradable Acid System
34. Effect of Calcium Carbonate on Barite Solubility Using a Chelating Agent and Converter
35. Assessing the Effect of Micronized Starch on Rheological and Filtration Properties of Water-Based Drilling Fluid
36. Artificial Neural Network ANN Approach to Predict Fracture Pressure
37. Improved Predictions in Oil Operations Using Artificial Intelligent Techniques
38. Optimization of a Thermochemical Recovery Process Using Global Optimization Methods to Enhance Heavy Oil Recovery
39. Improving Class G Cement Carbonation Resistance Using Nanoclay Particles for Geologic Carbon Sequestration Applications
40. Nanoclay Content Influence on Cement Strength for Oil Wells Subjected to Cyclic Steam Injection and High-Temperature Conditions
41. Use Metaheuristics to Improve the Quality of Drilling Real-Time Data for Advance Artificial Intelligent and Machine Learning Modeling. Case Study: Cleanse Hook-Load Real-Time Data
42. Enhancing the Cement Quality Using Polypropylene Fibers
43. Rate of Penetration Prediction Using Self-Adaptive Differential Evolution-Artificial Neural Network
44. Synthesis and Experimental Investigation of Novel CNT-Polymer Nanocomposite to Enhance Borehole Stability at High Temperature Drilling Applications
45. Well-Placement Optimization in a Novel Heavy Oil Recovery Process Using In-Situ Steam Generated by Thermochemicals
46. IIncreasing ANN Accuracy, by Improving the Training Dataset Criteria. Case Study: Identify the Formation Density from The Drilling Surface Parameters in Real-Time
47. New Technology to Evaluate Equivalent Circulating Density While Drilling Using Artificial Intelligence
48. Intelligent Prediction of Acid-fracturing Performance in Carbonates Reservoirs
49. Optimizing the Gel Strength of Water-Based Drilling Fluid Using Clays for Drilling Horizontal and Multi-Lateral Wells
50. Geomechanical Studies on CO2 Sequestrated Rocks in an Aqueous Saline Environment
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