Subventions et des contributions :

Titre :
Dynamic loading of pipelines during integrity management
Numéro de l’entente :
CRDPJ
Valeur d'entente :
431 912,00 $
Date d'entente :
7 mars 2018 -
Organisation :
Conseil de recherches en sciences naturelles et en génie du Canada
Location :
Alberta, Autre, CA
Numéro de référence :
GC-2017-Q4-01057
Type d'entente :
subvention
Type de rapport :
Subventions et des contributions
Informations supplémentaires :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2021-2022).

Nom légal du bénéficiaire :
Li, LePing (University of Calgary)
Programme :
Subventions de recherche et développement coopérative - projet
But du programme :

The purpose of the project is to improve pipeline safety. While leak detection and spill remediation arex000D
important, it is more desirable to prevent incidents in the first place. The project will develop knowledge,x000D
technologies and best practices that promote pipeline integrity at the highest level possible. Ensuring the safex000D
and reliable transportation of energy products by pipelines is crucial, irrespective of whether this energy isx000D
derived from non-renewable (fossil fuels) or from renewable (biofuels) sources. The research will be carried out by a multidisciplinary team in collaboration with a global leader in the pipeline transportation of gas and liquid hydrocarbons. Four researchers are tenured faculty members at the University of Calgary and one is from CanmetMATERIALS at Natural Resources Canada. PhD and MSc students will be an essential part of the team.x000D
x000D
The project will assess the stress regime when an In-Line Inspection tool passes through a pipe as part of anx000D
integrity management procedure. This is an unexplored area that will result in a new understanding of thex000D
combined effects of stress, fatigue and material loss. In some cases, these effects can be compounded in a pipex000D
that is potentially vulnerable due to weld or corrosion defects. Using a combination of numerical modeling and subscale experiments, an artificial intelligence model will be developed to predict maximum stress and crack propagation rate for a variety of input conditions, including temperature change, welds, corrosion, and crack propagation. The model will result in a software tool for use by pipeline engineers in real-world situations to improve the robustness integrity management programs.x000D
This study will address unknowns and will create new knowledge about a frequent pipeline integrity procedure, but the research approach will also allow applicability to the effects of surrounding environment such as open pit pipe during pipe excavation procedures, water crossings and muskeg.