Root cause analysis (RCA) of fractured ASTM A53 carbon steel pipe at oil &amp; gas company

Khattak, Muhammad Adil; Zareen, Naila; Mukhtar, Anique; Kazi, Suhail; Jalil, Amena; Ahmed, Zaheer; Jan, Miraj Muhammad

doi:10.1016/j.csefa.2016.04.002

Cited by 9 publications

(5 citation statements)

References 7 publications

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“…Fallas provocadas por insuficiencia en diseño, operación, mantenimiento y calidad en el material o en el montaje [31] analizaron una tubería fracturada en una compañía de petróleo y gas fabricado en acero ASTM A53 mediante RCA. Esta tubería era de 2" de diámetro cédula 80.…”

Section: Casos De Falla En Elementos Mecánicosunclassified

“…A continuación, la tabla 2 muestra en detalle la totalidad de los casos de estudio según la clasificación mencionada. [40] Cable de slickline/acero al alto carbono Grietas por fatiga y errores en la manufactura [31] Tubería/acero ASTM A53 Proceso abrasivo en la tubería [25] Tubería/acero L80 Adelgazamiento de pared por corrosión bajo tensión (SCC) [26] Tornillo de unión en ensamble motor-bomba sumergible/ acero ASTM A449-14 SCC [5] Tubería/aceros 16Mn y 20G Erosión-corrosión…”

Section: Principales Fallas Raíz En Elementos Mecánicosunclassified

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Casos aplicados del análisis de causa raíz: revisión

Castro

Ladino

2019

Cien.Ing.Neogranadina

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En este artículo, se presenta una revisión bibliográfca acerca de la implementación delanálisis de causa raíz (RCA, por sus siglas en inglés) a diversos problemas presentados en elementosmecánicos en diversas industrias del sector productivo. Se hace una breve contextualización sobrequé es el RCA y los pasos que se deben realizar para poder efectuarlo de una manera correcta en unproblema ingenieril y su utilidad en cuanto a la mitigación de gastos, en una obra, en una planta, o encualquier otra situación que merezca realizar una investigación de esta naturaleza. Las investigaciones mostradas en este artículo exponen diferentes casos que aplican la metodología RCA para determinar la causa de falla de piezas críticas dentro de diversos equipos. El común de estas indagacionesmuestra unos pasos que son imprescindibles, como explicar la naturaleza del elemento de falla, desarrollar una caracterización fsicoquímica del material del elemento mediante técnicas de espectroscopia, micrografía, fractografía y, en algunos casos, aplicación de los conceptos de diseño medianteel análisis por elementos fnitos. Además, se hace una comparación del elemento de estudio coninvestigaciones recientes o previas sobre mecanismos de falla posible a fn de determinar la posiblecausa raíz de falla del elemento estudiado. En algunos casos, los autores dan recomendaciones parala mitigación de los riesgos de falla, que llevan consigo un mejoramiento operativo y económico.

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Section: Casos De Falla En Elementos Mecánicosunclassified

Section: Principales Fallas Raíz En Elementos Mecánicosunclassified

Casos aplicados del análisis de causa raíz: revisión

Castro

Ladino

2019

Cien.Ing.Neogranadina

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“…Methods for measuring hardness are currently an integral part of a measure complex designed to assess the technical condition of CO [20−23] and, in particular, large-diameter steel pipes [21,22,24,25]. Standards and technical manuals concerning the Rockwell hardness measurements [26−29], for example, recommend assessing hardness based on the results of measurements at several points of an object.…”

Section: Introductionmentioning

confidence: 99%

Non-destructive testing of steel pipes that are long-term exploited according by statistical hardness parameters

Goncharov,

Osipov,

Brusnik

2023

Preprint

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The features of non-destructive testing of steel pipes with a long service life in terms of dynamic hardness parameters are considered. The limited applicability of normal and lognormal distributions, the Weibull and Gumbel distributions to describe the distribution density of hardness estimates for steels that have been in long-term operation in harsh meteorological and functional conditions of Siberia and the Far North is shown. A number of experiments were carried out on the formation of digital images of the hardness distribution over the surface of the tested products. Hypotheses are formulated regarding the use of such images to assess the current technical state of metal products and the dynamics of its change. The possibility of describing the hardness of steel specimens used for a long time in difficult conditions of Siberia by a weighted sum of two normal distributions has been experimentally proved.

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“…In chemical industries, especially in petroleum facilities, piping is applied to connect raw or refined chemicals to all components, such as the tanks and distillation facilities associated with each plant [ 1 ]. During the operation of the piping system, risks involve wall-thinning in the pipeline, which can lead to the leakage of hazardous chemicals induced by a puncture or rupture in the piping system [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Commercial Corrosion Sensors for Real-Time Monitoring of Pipe Wall Thickness under Various Operational Conditions

Shin

Hwang

Kim

et al. 2022

Sensors

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In this study, we investigated the performance and reliability of commercial corrosion sensors for monitoring the integrity of piping systems in various fluid environments as an alternative to ultrasonic transducers. To this end, we investigated pipes’ wall-thinning using commercial electrical resistance (ER), linear polarization resistance (LPR), and ultrasonic transducer (UT) sensors under various operating environments. A pilot-scale closed-loop test bed was built to simulate a real pipeline flow situation, from which the sensor data were collected and analyzed. Experimental results indicate that, in the case of the LPR sensor, it is challenging to accurately measure the corrosion rate when a specific measure exceeds the threshold in a severe corrosion environment. In contrast, the ER sensor could measure metal loss under all conditions and reflect the corresponding characteristics. The metal loss (about 0.25 mm) of the real pipe after the experiment was confirmed to be equal to the metal loss (0.254 mm) measured by the sensor. Furthermore, the regression analysis revealed a high correlation between the results obtained from the ER and UT sensors. Thus, evaluating the remaining thickness of the piping system using the commercial ER sensor is deemed to be effective and reliable.

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Root cause analysis (RCA) of fractured ASTM A53 carbon steel pipe at oil & gas company

Cited by 9 publications

References 7 publications

Casos aplicados del análisis de causa raíz: revisión

Casos aplicados del análisis de causa raíz: revisión

Non-destructive testing of steel pipes that are long-term exploited according by statistical hardness parameters

Evaluation of Commercial Corrosion Sensors for Real-Time Monitoring of Pipe Wall Thickness under Various Operational Conditions

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