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Dynamic Failure Pressure Prediction and Risk-Based Early Warning for Oil and Gas Pipelines Using a Long Short-Term Memory–DNV-RP-F101 Coupled Model.

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Title: Dynamic Failure Pressure Prediction and Risk-Based Early Warning for Oil and Gas Pipelines Using a Long Short-Term Memory–DNV-RP-F101 Coupled Model.
Authors: Zhang, Min1, 13720703530@163.com, Yuan, Xiaojing1,2, Luo, Weipeng1,3, Guo, Yanbao2,4, Wang, Youcai1, Liu, Haoyu1,2, Xu, Shouwu3,4
Source: Applied Sciences (2076-3417); Jul2026, Vol. 16 Issue 13, p6626, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 195445851
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Dynamic Failure Pressure Prediction and Risk-Based Early Warning for Oil and Gas Pipelines Using a Long Short-Term Memory–DNV-RP-F101 Coupled Model.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=195445851
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/app16136626
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 6626
    Titles:
      – TitleFull: Dynamic Failure Pressure Prediction and Risk-Based Early Warning for Oil and Gas Pipelines Using a Long Short-Term Memory–DNV-RP-F101 Coupled Model.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Zhang, Min
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            NameFull: Yuan, Xiaojing
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            NameFull: Luo, Weipeng
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            NameFull: Guo, Yanbao
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            NameFull: Wang, Youcai
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            NameFull: Liu, Haoyu
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            NameFull: Xu, Shouwu
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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