989 results on '"Elkatatny, Salaheldin"'
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2. Foam Stability Analysis at High pH and Saline Environments for Underbalanced Drilling Operations
3. Investigation of the Impact of Vermiculite on the Properties of Barite-Based Oil Well Cement
4. Evaluation of using micronized saudi calcite in ilmenite-weighted water-based drilling fluid
5. Optimizing hematite filter cake treatment using reducing agents
6. Perlite incorporation for sedimentation reduction and improved properties of high-density geopolymer cement for oil well cementing
7. Investigating the efficacy of novel organoclay as a rheological additive for enhancing the performance of oil-based drilling fluids
8. Estimation of tensile and uniaxial compressive strength of carbonate rocks from well-logging data: artificial intelligence approach
9. Performance of the Hole Cleaning Factor in Predicting the Hole Cleaning Conditions in Vertical and Deviated Wells: Real Case Studies
10. A New Method for Drill Cuttings Size Estimation Based on Machine Learning Technique
11. Photoelectric factor prediction using automated learning and uncertainty quantification
12. Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification
13. Resistivity Log Prediction in Horizontal Low Formation Quality Well Using Data-Driven Robust Models
14. Evaluation of the wellbore drillability while horizontally drilling sandstone formations using combined regression analysis and machine learning models
15. Evaluation of Granite Waste Powder as an Oil-Well Cement Extender
16. Rheology Predictive Model Based on an Artificial Neural Network for Micromax Oil-Based Mud
17. Real-time rate of penetration prediction for motorized bottom hole assembly using machine learning methods
18. Micronized calcium carbonate to enhance water-based drilling fluid properties
19. Data-driven models to predict shale wettability for CO2 sequestration applications
20. Estimation of rocks’ failure parameters from drilling data by using artificial neural network
21. Detecting downhole vibrations through drilling horizontal sections: machine learning study
22. Estimating electrical resistivity from logging data for oil wells using machine learning
23. The effect of polypropylene fiber on the curing time of class G oil well cement and its mechanical, petrophysical, and elastic properties
24. Data-driven EUR for multistage hydraulically fractured wells in shale formation using different machine learning methods
25. Review of underbalanced drilling techniques highlighting the advancement of foamed drilling fluids
26. Minimizing the particles settling of ilmenite weighted oil well cement using laponite
27. Durability of lightweight oil-well geopolymer system in sulfate environment
28. The impact of overbalance pressure on the alteration of sandstone geomechanical properties
29. Utilization of vermiculite particles in the enhancement of the ilmenite based oil well cement properties
30. Exploring the potential of laser technology in oil well drilling: An overview
31. New application for Micromax in aqueous drilling fluids as a hydrogen sulfide scavenger
32. Deep characterization of heavy-weighted oil well cement segregation by a novel nuclear magnetic resonance (NMR) technique
33. Machine learning framework for estimating CO2 adsorption on coalbed for carbon capture, utilization, and storage applications
34. Retraction Note: Data-driven EUR for multistage hydraulically fractured wells in shale formation using different machine learning methods
35. Synergy of retarders and superplasticizers for thickening time enhancement of hematite based fly ash geopolymers
36. Effect of Qusaiba shale formation on high-pressure high-temperature drilling fluids properties
37. Performance of Perlite as viscosifier in manganese tetroxide water based-drilling fluid
38. Evaluation of hematite and Micromax-based cement systems for high- density well cementing
39. Formation Resistivity Prediction Using Decision Tree and Random Forest
40. Application of Machine Learning to Predict the Failure Parameters from Conventional Well Logs
41. Artificial Intelligence Models for Real-Time Bulk Density Prediction of Vertical Complex Lithology Using the Drilling Parameters
42. Real-Time Prediction of the Dynamic Young’s Modulus from the Drilling Parameters Using the Artificial Neural Networks
43. Prediction Model Based on an Artificial Neural Network for Rock Porosity
44. Using Manganese Tetroxide for Hematite Settling Prevention in Water-Based Mud
45. Real-Time GR logs Estimation While Drilling Using Surface Drilling Data; AI Application
46. Review of Remedial Cementing: Techniques, Innovations, and Practical Insights
47. Drilling Data Based Approach for Real-Time Rate of Penetration Prediction for Motorized Bottom Hole Assembly Using Artificial Intelligence
48. Challenges of Cementing in Extreme Environments
49. Red Mud-Based Geopolymer Cement for Sustainable Oil Well Construction: Opportunities and Challenges
50. Novel Machine Learning Approach for Predicting the Gel Strength of the Drilling Fluid While Drilling
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