Communication and Mitigation Strategies Related to the Leading Indicator of Pressure Cycle Fatigue

2021 ◽  
Author(s):  
Taylor Shie ◽  
Phat Le ◽  
Scott Olson
Author(s):  
Phat Le ◽  
Scott Olson ◽  
Taylor Shie

Abstract Pressure cycle fatigue has been shown in industry to be a contributing factor to pipeline failure. There are methods for pressure cycle fatigue monitoring that can be used as a leading indicator for the risk of the pipeline to fatigue related failure. Once lines with high cycling are identified, the risk of the cycling to the asset and the mitigation strategies for the cycling can be discussed within the organization. By mitigating the driving force of crack initiation and grow to failure in-service, the pipeline community is safer. Shell Pipeline Company, LP. (SPLC) experienced two in-service failures on the same pipeline in under a year where fatigue was a common root cause. Following the investigation of these failures, management requested communication of the risk of pressure cycle fatigue throughout the organization with the intent to mitigate the levels of pressure cycling across the system. All pipelines were put on a monthly dashboard of pressure cycling and sent to all staff for awareness and action. The company measures pressure cycling on all pipelines by normalizing the number of cycles to 25% of the specified minimum yield strength (SMYS). From January 2016 to December 2019, the number of monthly cycles on the top ten highest cycled segments were reduced from 45,000 cycles per month, to 18,970 cycles. This is a reduction of 58%. The number of Very Aggressively cycled pipelines was reduced from 2 to 0. The number of Aggressively cycled pipelines were reduced from 13 to as low as 3. This paper will share the strategies and methodologies used to achieve these results. The paper will share how the list of highly cycled pipelines and the monthly status reports were developed. The paper will also share how pressure cycling mitigation strategies for pipeline systems were developed in collaboration with facility engineering, business unit leads, controllers, schedulers, and integrity staff. The effectiveness of mitigation methods such as pressure reduction, installation of back-pressure control valves, changing of valve timing on startup and shutdown, changes to the scheduling on the pipeline, utilization of flying switch between tankage, etc. will be discussed. By reducing pressure cycling, the risk of fatigue related failures can be reduced. This program is continuously being improved because there is both management commitment and ownership of the issue throughout the organization.


Author(s):  
Patrick H. Vieth ◽  
Clifford J. Maier ◽  
Carl E. Jaske

Operational pressure cycle fatigue (PCF) is one of the integrity threats managed by pipeline operators. Usually, hazardous liquid pipeline operators are most interested in the effects of pressure cycles since these pipelines inherently experience more significant pressure cycles than natural gas pipelines. The parameters considered in the assessment of operational pressure cycles include pipe geometry (diameter and wall thickness), mechanical properties of the pipe, distribution of hypothetical defect sizes that may exist in the pipeline, and pressure cycles. In performing these assessments, the most conservative value for each parameter is commonly used for predicting a time to failure. As such, the results are inherently overly conservative. A statistical assessment method, PCFStat, has been developed to more appropriately model the input parameters used in the assessment of operational pressure cycle fatigue; especially for cases where the deterministic approach identifies relatively short remaining fatigue lives. A distribution of each of the input parameters is developed, and then a Monte Carlo simulation of these parameters is performed. The results produced by this analysis are then used to evaluate the probability of a failure (leak or rupture) for a defined time interval.


2014 ◽  
Vol 52 (4) ◽  
pp. 283-291 ◽  
Author(s):  
Gwan Yeong Kim ◽  
Kyu Sik Kim ◽  
Joong Cheol Park ◽  
Shae Kwang Kim ◽  
Young Ok Yoon ◽  
...  

2013 ◽  
Vol 51 (5) ◽  
pp. 325-332 ◽  
Author(s):  
Sung Hyuk Park ◽  
Seong-Gu Hong ◽  
Chong Soo Lee ◽  
Ha Sik Kim

1978 ◽  
Vol 27 (292) ◽  
pp. 99-103 ◽  
Author(s):  
Kiyoshi KITA ◽  
Masanori KIYOSHIGE ◽  
Masatake TOMINAGA ◽  
Junzo FUJIOKA

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