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Developing a Predictive Model of Near-Neutral pH Stress Corrosion Cracking of Underground Pipelines

  • Author / Creator
    Conrad, Brett M
  • Near neutral pH Stress Corrosion Cracking (NNpHSCC) on underground oil and gas pipelines is an issue facing industry today. Determining where NNpHSCC is likely to occur and grow is an important aspect to developing an Integrity Management Program. This work focused on developing a predictive model to capture the mechanisms involved with NNpHSCC growth utilizing actual field data. In order to better fit the field findings with the limited laboratory runs, different Hydrogen Enhancement Factors (HEF) were applied depending on the conditions of a given loading cycle. The predictive model generated results which demonstrated to distinct portions of NNpHSCC growth: a dissolution controlled phase and a mechanically activated phase. The output of the model was then compared to the field findings, with varied success. Further improvement and calibrations are required along with the gathering of additional field and laboratory data to fine-tune the field validation of the predictive model.

  • Subjects / Keywords
  • Graduation date
    2014-06
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3868F
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Chemical and Materials Engineering
  • Specialization
    • Materials Engineering
  • Supervisor / co-supervisor and their department(s)
    • Chen, Weixing (Chemical and Materials Engineering)
  • Examining committee members and their departments
    • Li, Leijun (Chemical and Materials Engineering)
    • Li, Dongyang (Chemical and Materials Engineering)
    • Adeep, Samer (Civil and Environmental Engineering)
    • Chen, Weixing (Chemical and Materials Engineering)