926 results on '"Elkatatny, Salaheldin"'
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2. Experimental study on an eco-friendly gemini foaming agent for enhancing foam drilling applications
3. Foam Stability Analysis at High pH and Saline Environments for Underbalanced Drilling Operations
4. Investigation of the Impact of Vermiculite on the Properties of Barite-Based Oil Well Cement
5. Enhancing the properties of high-density oil well cement with Qusaiba kaolinite
6. Evaluation of using micronized saudi calcite in ilmenite-weighted water-based drilling fluid
7. Optimizing hematite filter cake treatment using reducing agents
8. Perlite incorporation for sedimentation reduction and improved properties of high-density geopolymer cement for oil well cementing
9. Investigating the efficacy of novel organoclay as a rheological additive for enhancing the performance of oil-based drilling fluids
10. Estimation of tensile and uniaxial compressive strength of carbonate rocks from well-logging data: artificial intelligence approach
11. Performance of the Hole Cleaning Factor in Predicting the Hole Cleaning Conditions in Vertical and Deviated Wells: Real Case Studies
12. A New Method for Drill Cuttings Size Estimation Based on Machine Learning Technique
13. Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification
14. Photoelectric factor prediction using automated learning and uncertainty quantification
15. Real-time rate of penetration prediction for motorized bottom hole assembly using machine learning methods
16. Micronized calcium carbonate to enhance water-based drilling fluid properties
17. Data-driven models to predict shale wettability for CO2 sequestration applications
18. Estimation of rocks’ failure parameters from drilling data by using artificial neural network
19. Detecting downhole vibrations through drilling horizontal sections: machine learning study
20. Resistivity Log Prediction in Horizontal Low Formation Quality Well Using Data-Driven Robust Models
21. Evaluation of the wellbore drillability while horizontally drilling sandstone formations using combined regression analysis and machine learning models
22. Evaluation of Granite Waste Powder as an Oil-Well Cement Extender
23. Rheology Predictive Model Based on an Artificial Neural Network for Micromax Oil-Based Mud
24. Estimating electrical resistivity from logging data for oil wells using machine learning
25. Minimizing the particles settling of ilmenite weighted oil well cement using laponite
26. The effect of polypropylene fiber on the curing time of class G oil well cement and its mechanical, petrophysical, and elastic properties
27. Data-driven EUR for multistage hydraulically fractured wells in shale formation using different machine learning methods
28. Review of underbalanced drilling techniques highlighting the advancement of foamed drilling fluids
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. Durability of lightweight oil-well geopolymer system in sulfate environment
33. The impact of overbalance pressure on the alteration of sandstone geomechanical properties
34. Deep characterization of heavy-weighted oil well cement segregation by a novel nuclear magnetic resonance (NMR) technique
35. Machine learning framework for estimating CO2 adsorption on coalbed for carbon capture, utilization, and storage applications
36. Synergy of retarders and superplasticizers for thickening time enhancement of hematite based fly ash geopolymers
37. Effect of Qusaiba shale formation on high-pressure high-temperature drilling fluids properties
38. Performance of Perlite as viscosifier in manganese tetroxide water based-drilling fluid
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. Evaluation of hematite and Micromax-based cement systems for high- density well cementing
47. Retraction Note: Data-driven EUR for multistage hydraulically fractured wells in shale formation using different machine learning methods
48. Improving filter cake sealing properties for high-density ilmenite drilling fluid
49. Incorporating steel-industry waste in water based drilling fluids for hydrogen sulfide scavenging
50. Improving the filtration properties for manganese tetroxide mud utilizing perlite particles to drill wide-range permeability sandstone formation
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