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Prediction and evaluation of residual life of casing with corrosion defects

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Title: Prediction and evaluation of residual life of casing with corrosion defects
Authors: JIA Aoyin, QIAN Liqin, WANG Jie, YANG Jingwei, WU Yaokun, WEI Mingji
Source: Jixie qiangdu, Pp 1-9 (2024)
Publisher Information: Editorial Office of Journal of Mechanical Strength, 2024.
Publication Year: 2024
Collection: LCC:Mechanical engineering and machinery
LCC:Materials of engineering and construction. Mechanics of materials
Subject Terms: Casing corrosion defect, Finite element analysis, PSO-GPR, Corrosion rate, Residual life, Mechanical engineering and machinery, TJ1-1570, Materials of engineering and construction. Mechanics of materials, TA401-492
More Details: ObjectiveAs oil field development progresses into the middle and later stages, casing damage becomes increasingly severe, particularly incidents such as leakage, reduction in diameter, bending, and fractures caused by corrosion defects, leading to unsafe operations. Therefore, there is an urgent need to conduct residual life and safety evaluations of old oil field casings.MethodsBased on the von Mises equivalent stress yield criterion, a three-dimensional finite element calculation model of casings containing corrosion defects was established to analyze the influence law of corrosion pit depth and angle on casing stress distribution. The particle swarm optimization-gaussian process regression （PSO-GPR) algorithm was employed to construct a predictive model for casing corrosion rates.ResultsIntegration of the two models, the evaluation of the residual life of casings with corrosion defects was completed, it has theoretical guidance significance for the prevention and management of corroded casings in oil field operations.
Document Type: article
File Description: electronic resource
Language: Chinese
ISSN: 1001-9669
Relation: http://www.jxqd.net.cn/thesisDetails?columnId=79416502&Fpath=home&index=0; https://doaj.org/toc/1001-9669
Access URL: https://doaj.org/article/ad4d17332f19401b9d1f564abb92f5c3
Accession Number: edsdoj.4d17332f19401b9d1f564abb92f5c3
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  Label: Title
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  Data: Prediction and evaluation of residual life of casing with corrosion defects
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  Data: <searchLink fieldCode="AR" term="%22JIA+Aoyin%22">JIA Aoyin</searchLink><br /><searchLink fieldCode="AR" term="%22QIAN+Liqin%22">QIAN Liqin</searchLink><br /><searchLink fieldCode="AR" term="%22WANG+Jie%22">WANG Jie</searchLink><br /><searchLink fieldCode="AR" term="%22YANG+Jingwei%22">YANG Jingwei</searchLink><br /><searchLink fieldCode="AR" term="%22WU+Yaokun%22">WU Yaokun</searchLink><br /><searchLink fieldCode="AR" term="%22WEI+Mingji%22">WEI Mingji</searchLink>
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  Data: Jixie qiangdu, Pp 1-9 (2024)
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  Data: 2024
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  Data: LCC:Mechanical engineering and machinery<br />LCC:Materials of engineering and construction. Mechanics of materials
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  Data: <searchLink fieldCode="DE" term="%22Casing+corrosion+defect%22">Casing corrosion defect</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+analysis%22">Finite element analysis</searchLink><br /><searchLink fieldCode="DE" term="%22PSO-GPR%22">PSO-GPR</searchLink><br /><searchLink fieldCode="DE" term="%22Corrosion+rate%22">Corrosion rate</searchLink><br /><searchLink fieldCode="DE" term="%22Residual+life%22">Residual life</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanical+engineering+and+machinery%22">Mechanical engineering and machinery</searchLink><br /><searchLink fieldCode="DE" term="%22TJ1-1570%22">TJ1-1570</searchLink><br /><searchLink fieldCode="DE" term="%22Materials+of+engineering+and+construction%2E+Mechanics+of+materials%22">Materials of engineering and construction. Mechanics of materials</searchLink><br /><searchLink fieldCode="DE" term="%22TA401-492%22">TA401-492</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: ObjectiveAs oil field development progresses into the middle and later stages, casing damage becomes increasingly severe, particularly incidents such as leakage, reduction in diameter, bending, and fractures caused by corrosion defects, leading to unsafe operations. Therefore, there is an urgent need to conduct residual life and safety evaluations of old oil field casings.MethodsBased on the von Mises equivalent stress yield criterion, a three-dimensional finite element calculation model of casings containing corrosion defects was established to analyze the influence law of corrosion pit depth and angle on casing stress distribution. The particle swarm optimization-gaussian process regression （PSO-GPR) algorithm was employed to construct a predictive model for casing corrosion rates.ResultsIntegration of the two models, the evaluation of the residual life of casings with corrosion defects was completed, it has theoretical guidance significance for the prevention and management of corroded casings in oil field operations.
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: Chinese
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 1
    Subjects:
      – SubjectFull: Casing corrosion defect
        Type: general
      – SubjectFull: Finite element analysis
        Type: general
      – SubjectFull: PSO-GPR
        Type: general
      – SubjectFull: Corrosion rate
        Type: general
      – SubjectFull: Residual life
        Type: general
      – SubjectFull: Mechanical engineering and machinery
        Type: general
      – SubjectFull: TJ1-1570
        Type: general
      – SubjectFull: Materials of engineering and construction. Mechanics of materials
        Type: general
      – SubjectFull: TA401-492
        Type: general
    Titles:
      – TitleFull: Prediction and evaluation of residual life of casing with corrosion defects
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: JIA Aoyin
      – PersonEntity:
          Name:
            NameFull: QIAN Liqin
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            NameFull: WANG Jie
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            NameFull: YANG Jingwei
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            NameFull: WU Yaokun
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            NameFull: WEI Mingji
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
          Identifiers:
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              Value: 10019669
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            – TitleFull: Jixie qiangdu
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