Markov description of corrosion defects growth and its application to reliability based inspection and maintenance of pipelines

Proceedings of the Biennial International Pipeline Conference, IPC

Volumn 4, Issue , 2009, Pages 525-533

  Timashev, S A ^a   Malyukova, M G ^a   Poluian, L V ^a   Bushinskaya, A V ^a  

^a RUSSIAN ACADEMY OF SCIENCES   (Russian Federation)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL PROBABILITIES; CONTINUOUS TIME; CORROSION DEFECT; CORROSION GROWTH; DIRECT ASSESSMENT; DISCRETE STATE; FAILURE RATE; FIELD DATA; IN-LINE INSPECTIONS; INSPECTION TOOLS; LIMIT STATE FUNCTIONS; LOSS OF CONTAINMENT; MARKOV MODEL; MONTE CARLO SIMULATION METHODS; PIPE WALL DEFECTS; PIPELINE FAILURES; PIPELINE LENGTH; PIPELINE REPAIR; PIPELINE SEGMENTS; PROBABILITY OF FAILURE; RELIABILITY BASED INSPECTIONS; TRANSITION INTENSITY;

COMPUTER SIMULATION; CORROSION; DEFECTS; DIFFERENTIAL EQUATIONS; INSPECTION; LARGE SCALE SYSTEMS; MARKOV PROCESSES; MONTE CARLO METHODS; OPTIMIZATION; PROBABILITY; PROGRAM PROCESSORS; REPAIR; SYSTEMS ENGINEERING;

PIPELINES;

EID: 70350029355     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/IPC2008-64546     Document Type: Conference Paper

References (17)

1. Andrews F, Jandu C. A new probabilistic model for high- ph stress corrosion cracking. International pigging and maintenance optimization conference, Houston, TX, 2006.
2. ASME-B31G.M Manual for determining the remaining strength of corroded pipelines. A supplement to ASME B31G code for pressure piping. New York: American Society of Mechanical Engineers, 1991
3. Bhatia A., Morrison T., Desjardins G., Analysis of Corrosion growth using a high resolution in-line inspection tool, Conference proceedings of NACE Northern Area Eastern conference, October 24-27, 1999, (Ottawa, Canada) paper 3B.1
4. Bogdanoff J., Kozin F. Probabilistic models of cumulative damage. John Wiley & Sons NY, NY 1985 344 p.
5. Desjardins G, Assessment of Corrosion rate and severity predictions from in-line inspection data, NACE international conference 2110, Paper # 624.
6. Desjardins G., Optimized pipeline repair and inspection planning using in-line inspection data. The Journal of Pipeline Integrity, vol.1, # 2, April 2002.
7. Desjardins G., Reliability approach to optimized pipeline integrity planning based on a probabilistic assessment of corrosion rates and future corrosion severity.
8. Gnedenko B.V. Course on Probability Theory Manual. 6th ed. Moscow: Nauka, 1988 - 448 p. In Russian.
9. Hong H.P. Inspection and maintenance planning of pipeline under external corrosion considering generation of new defects. Structural Safety, 1999, 21:203-222.
10. Morrison T., Desjardins G. Determination of corrosion rates from a single in-line inspection of a pipeline, conference Proceeding of NACE Northern Area western conference, December 1, 1998 (Calgary, Canada)
11. Morrison T., Worthingham R., Reliability of a high pressure pipeline under external corrosion. IPC 2000, Calgary, Alberta, Canada
12. Scheikh A K, Hansen D A. Statistical modeling of pitting corrosion and pipeline reliability. Corrosion Science 1990; 76(3): 190-197
13. Timashev S.A. Malyukova M.G. Poluian L.V. Bushinskaya A.V., Internet-oriented method of reliability analysis of on-shore pipelines with growing defecrs, Proceedings of IPC2008, Paper # IPC2008-64545, September 26-29, Calgary, Alberta, Canada
14. Timashev S.A., Reliability of large mechanical systems, Moscow, Nauka, 1982 (in Russian); SEAG, Pavia, Italy, 1984., 184p.
15. Ventsel E.S. Probability Theory. M.: Nauka -1969, 576 p, (In Russian).
16. Worthingham R., Fenyvesi L., Morrison T., Desjardins G. Analysis of corrosion rates on a gas transmission pipeline. IPC 2004, Calgary, Canada
17. Worthingham R., Morrison T., Desjardins G. Comparison of estimates from a growth mode 5 years after the previous inspection Proceedings of IPC 2000, October 1-5, 2000, Calgary, Alberta, Canada