Statistical analysis based on information obtained from inspection in line to forecast future land pipeline damage

J. L. González-Domínguez, D. A. Padilla-Pérez, S. L. Hernández-Mejía, M. A. Adame-González

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Oil industry is very strategic for any country. Not only for their market share and their budgets, but also for the critical infrastructure interdependences that creates. Considering statistics and fractal geometry as a support for analysis, interpretation of data and as an aid in taking decisions, this paper deals with data obtained in 1994 and 2004 from the inspection of the onshore pipelines in Mexico. Making use of software Benoit and ITSM-2000, the time series were found to have a fractal behavior. Further analysis and contrast with a previous research base on artificial neural networks was also accomplished. As a result it was obtained a forecast for 2014, based on the sum of the time series of data.

Idioma originalInglés
Título de la publicación alojadaStructural and Chemical Characterization of Metals, Alloys, and Compounds - 2011
Páginas201-208
Número de páginas8
DOI
EstadoPublicada - 2012
Evento20th International Materials Research Congress, IMRC 2011 - Cancun, México
Duración: 14 ago. 201119 ago. 2011

Serie de la publicación

NombreMaterials Research Society Symposium Proceedings
Volumen1372
ISSN (versión impresa)0272-9172

Conferencia

Conferencia20th International Materials Research Congress, IMRC 2011
País/TerritorioMéxico
CiudadCancun
Período14/08/1119/08/11

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