Modeling of Microbiologically Influenced Corrosion (MIC) for Risk-Based Inspection (RBI) in the Oil and Gas Industry

Engineering

1. Subject Matter Expert 100%
2. Internals 79%
3. Petroleum Industry 79%
4. Model System 59%
5. Corrosion Mechanism 59%
6. Microbial 40%
7. Learning System 40%
8. Produced Water 39%
9. Real Life 29%
10. Influencing Parameter 29%
11. Applicability 29%
12. Expert Opinion 29%
13. Failure Scenario 29%
14. Artificial Neural Network Model 29%
15. Development Process 29%
16. Flowchart 19%
17. Injection System 19%
18. Gathering System 19%
19. Pipeline and Facility 19%
20. Operating Parameter 19%
21. Provide End 19%
22. End-Users 19%
23. Assessment Method 19%
24. Failure Mechanism 19%
25. Failure Data 19%
26. External Corrosion 19%
27. Internal Corrosion 19%
28. Based Expert System 19%
29. Corrosion Product 19%
30. Observed Corrosion 19%
31. Related Failure 19%
32. Oil-Water Emulsion 19%
33. Test Data 19%
34. Degradation Mechanism 19%
35. Testing Method 19%
36. Pipeline System 19%
37. Functional Group 19%
38. Artificial Neural Network 19%