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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationStructural and Chemical Characterization of Metals, Alloys, and Compounds - 2011
Pages201-208
Number of pages8
DOIs
StatePublished - 2012
Event20th International Materials Research Congress, IMRC 2011 - Cancun, Mexico
Duration: 14 Aug 201119 Aug 2011

Publication series

NameMaterials Research Society Symposium Proceedings
Volume1372
ISSN (Print)0272-9172

Conference

Conference20th International Materials Research Congress, IMRC 2011
Country/TerritoryMexico
CityCancun
Period14/08/1119/08/11

Keywords

  • Corrosion
  • Environmentally benign
  • Fatigue
  • Fractal
  • Fracture

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