Mostrar el registro sencillo del ítem

dc.contributor.author Velazquez, J.C.
dc.contributor.author Van Der Weide, J.A.M.
dc.contributor.author Hernandez, Enrique
dc.contributor.author Herrera Hernández, Héctor
dc.date.accessioned 2017-02-23T20:26:10Z
dc.date.available 2017-02-23T20:26:10Z
dc.date.issued 2014-05-19
dc.identifier.issn 1452-3981
dc.identifier.uri http://hdl.handle.net/20.500.11799/64895
dc.description.abstract Pitting corrosion is one of the main threats in the pressure vessels integrity and also causes the failure of buried pipelines steels that transport sour gas, crude oil or condensate hydrocarbon, for this reason, a reliability assessment of pressurized vessels and buried pipelines based on probabilistic mathematical modelling to estimate the remaining life-time due to pitting corrosion damage is extensively employed. Herein, a methodology for probabilistic mathematical modelling of the pits initiation process and its depth growth process is developed; both uncertain processes are well represented by stochastic models. In this methodology two stochastic models are applied; Poisson process is used to model pit initiation and Gamma process to model the pit depth-growth. Such methods are validated using data produced by computer modeling procedures. On the other hand, in the oil industry it is common not to inspect the entire vessels surface; instead of this only a small part of the surface is under inspection. According to this, the use of Block Maxima (BM) and Peak-Over-Threshold (POT) models “EXTREME VALUE STATISTICS” to characterize the probability distribution of maximum pit depths is also approached. The results indicate that POT model can evaluate efficiently the maximum pitting corrosion depths. es
dc.description.sponsorship Aknowledge and express their gratitude to CONACyT for the SNI distinction as research membership and the monthly stipend received. es
dc.language.iso eng es
dc.publisher International Journal of Electrochemical Science es
dc.relation.ispartofseries Int. J. Electrochem. Sci.;No. 9
dc.rights openAccess es
dc.rights https://creativecommons.org/licenses/by-nc-nd/4.0/ es
dc.rights openAccess es
dc.rights https://creativecommons.org/licenses/by-nc-nd/4.0/ es
dc.subject Pitting corrosion es
dc.subject Stochastic models es
dc.subject Pressure vessels es
dc.subject Steel pipelines es
dc.title Statistical Modelling of Pitting Corrosion: Extrapolation of the Maximum Pit Depth-Growth es
dc.type Artículo es
dc.provenance Científica es
dc.road Dorada es
dc.organismo Centro Universitario UAEM Valle de México es
dc.ambito Internacional es
dc.cve.progEstudios 43 es
dc.modalidad Artículo especializado para publicar en revista indizada es


Ficheros en el ítem

Este ítem aparece en la(s) siguiente(s) colección(ones)

Visualización del Documento

  • Título
  • Statistical Modelling of Pitting Corrosion: Extrapolation of the Maximum Pit Depth-Growth
  • Autor
  • Velazquez, J.C.
  • Van Der Weide, J.A.M.
  • Hernandez, Enrique
  • Herrera Hernández, Héctor
  • Fecha de publicación
  • 2014-05-19
  • Editor
  • International Journal of Electrochemical Science
  • Tipo de documento
  • Artículo
  • Palabras clave
  • Pitting corrosion
  • Stochastic models
  • Pressure vessels
  • Steel pipelines
  • Los documentos depositados en el Repositorio Institucional de la Universidad Autónoma del Estado de México se encuentran a disposición en Acceso Abierto bajo la licencia Creative Commons: Atribución-NoComercial-SinDerivar 4.0 Internacional (CC BY-NC-ND 4.0)

Mostrar el registro sencillo del ítem

Buscar en RI


Buscar en RI

Usuario

Estadísticas