Grant: Alliance Grants
University of Calgary
$160,000.00
Thermo-mechanical processes involving compression sleeve application to gas transmission pipelines
EF 2024-25
Résumé
Pipeline systems are used for the transportation of energy over distance. Transported products include oil, natural gas, synthetic fuels, biofuels, hydrogen, ammonia and byproducts of energy conversion, most notably carbon dioxide. Once a defect has been identified as part of an integrity management program, options exist for repairing the carrier pipe. These range from replacing the defective pipe section, removal of mass at the feature by grinding, weld deposition over the feature, installation of non-pressure (Type A), pressure (Type B), or composite sleeves, mechanical bolt-on clamps, and hot tapping. Type-A sleeves, as investigated in this proposal, are used for non-leaking defects and provide structural reinforcement to a weakened pipeline without requiring welding to the carrier pipe. Repair procedures involving the use of compression sleeves have advantage in that they do not require purging of pipeline segments and are able to be performed without an interruption to customer service.
This research investigation will examine the thermo-mechanical processes that occur during application of pipeline compression sleeves to scenarios where it is not possible to reduce operating pressure during installation. Finite Element Analysis will be used to model the application of compression sleeves to carrier pipes. The thermo-mechanical processes that occur during application of compression sleeves will be investigated experimentally and the results used to validate the Finite Element model. Artificial Intelligence/Machine Learning (AI/ML) algorithms will be trained to evaluate the relative merit of different compression sleeve application procedures for varying scenarios. The AI/ML model be used to predict the ratio of hoop stress in the carrier pipe after installation of the compression sleeve to the initial hoop stress in the carrier pipe prior to compression sleeve installation. The result of the AI/ML model will enable determination of carrier pipe stress reduction for a given application procedure, and this will result in improved pipeline safety to both the public and the environment.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
591592-2023
Name nom
Hugo, Ronald RJ
Department département
Mechanical and Manufacturing Engineering
Organization id
11
Institution établissement
University of Calgary
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
160000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
300
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy resources (including production, exploration, processing, distribution and use)
Area of application fr
Ressources d'énergie (production, exploration, traitement, distribution et utilisation de l'énergie)
Research subject code
2101
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Solid mechanics
Research subject fr
Mécanique des solides
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Thermo-mechanical processes involving compression sleeve application to gas transmission pipelines
Keywords
compression sleeve; gas transmission pipeline; integrity management; machine learning; numerical modeling; thermo-mechanical processes
Application summary
Pipeline systems are used for the transportation of energy over distance. Transported products include oil, natural gas, synthetic fuels, biofuels, hydrogen, ammonia and byproducts of energy conversion, most notably carbon dioxide. Once a defect has been identified as part of an integrity management program, options exist for repairing the carrier pipe. These range from replacing the defective pipe section, removal of mass at the feature by grinding, weld deposition over the feature, installation of non-pressure (Type A), pressure (Type B), or composite sleeves, mechanical bolt-on clamps, and hot tapping. Type-A sleeves, as investigated in this proposal, are used for non-leaking defects and provide structural reinforcement to a weakened pipeline without requiring welding to the carrier pipe. Repair procedures involving the use of compression sleeves have advantage in that they do not require purging of pipeline segments and are able to be performed without an interruption to customer service.
This research investigation will examine the thermo-mechanical processes that occur during application of pipeline compression sleeves to scenarios where it is not possible to reduce operating pressure during installation. Finite Element Analysis will be used to model the application of compression sleeves to carrier pipes. The thermo-mechanical processes that occur during application of compression sleeves will be investigated experimentally and the results used to validate the Finite Element model. Artificial Intelligence/Machine Learning (AI/ML) algorithms will be trained to evaluate the relative merit of different compression sleeve application procedures for varying scenarios. The AI/ML model be used to predict the ratio of hoop stress in the carrier pipe after installation of the compression sleeve to the initial hoop stress in the carrier pipe prior to compression sleeve installation. The result of the AI/ML model will enable determination of carrier pipe stress reduction for a given application procedure, and this will result in improved pipeline safety to both the public and the environment.