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    Microbiologically Influenced Corrosion High-Risk Area Prediction Model Based on Hydrodynamics Method

    Source: Journal of Pipeline Systems Engineering and Practice:;2021:;Volume ( 012 ):;issue: 002::page 04021008-1
    Author:
    Qi Wang
    ,
    Muyang Ai
    ,
    Wen Shi
    ,
    Wei Yu
    DOI: 10.1061/(ASCE)PS.1949-1204.0000539
    Publisher: ASCE
    Abstract: Microbiologically influenced corrosion (MIC) is a high-risk corrosion mechanism of oil refinery storage and transportation systems, and sand deposition is the necessary prerequisite for a corrosion environment under the scale. Based on a computational fluid dynamics (CFD) simulation, this paper analyzes and predicts the critical velocity of sand deposition. By comparing the field failure case data and experimental data, it is proved that there is good agreement between the data and the prediction results. The analysis also found that there is a critical angle that is prone to sand deposition in the refinery oil pipeline, and the critical velocity will jump after the critical angle. The sizes of the sand particles and the length of the inclined pipe section also influence the sand deposition rate. According to this feature, a probability model of sand deposition is established to predict the risk of microbial corrosion.
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      Microbiologically Influenced Corrosion High-Risk Area Prediction Model Based on Hydrodynamics Method

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4270204
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    contributor authorQi Wang
    contributor authorMuyang Ai
    contributor authorWen Shi
    contributor authorWei Yu
    date accessioned2022-01-31T23:42:18Z
    date available2022-01-31T23:42:18Z
    date issued5/1/2021
    identifier other%28ASCE%29PS.1949-1204.0000539.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4270204
    description abstractMicrobiologically influenced corrosion (MIC) is a high-risk corrosion mechanism of oil refinery storage and transportation systems, and sand deposition is the necessary prerequisite for a corrosion environment under the scale. Based on a computational fluid dynamics (CFD) simulation, this paper analyzes and predicts the critical velocity of sand deposition. By comparing the field failure case data and experimental data, it is proved that there is good agreement between the data and the prediction results. The analysis also found that there is a critical angle that is prone to sand deposition in the refinery oil pipeline, and the critical velocity will jump after the critical angle. The sizes of the sand particles and the length of the inclined pipe section also influence the sand deposition rate. According to this feature, a probability model of sand deposition is established to predict the risk of microbial corrosion.
    publisherASCE
    titleMicrobiologically Influenced Corrosion High-Risk Area Prediction Model Based on Hydrodynamics Method
    typeJournal Paper
    journal volume12
    journal issue2
    journal titleJournal of Pipeline Systems Engineering and Practice
    identifier doi10.1061/(ASCE)PS.1949-1204.0000539
    journal fristpage04021008-1
    journal lastpage04021008-12
    page12
    treeJournal of Pipeline Systems Engineering and Practice:;2021:;Volume ( 012 ):;issue: 002
    contenttypeFulltext
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