Condition prediction models for oil and gas pipelines using regression analysis

Journal of Construction Engineering and Management

Volumn 140, Issue 6, 2014, Pages

  El Abbasy, Mohammed S ^a   Senouci, Ahmed ^b   Zayed, Tarek ^a   Mirahadi, Farid ^a   Parvizsedghy, Laya ^a  

^a Gina Cody School of Engineering and Computer Science   (Canada)

^b QATAR UNIVERSITY   (Qatar)

Author keywords

Condition prediction; Oil and gas pipelines; Quantitative methods; Regression analysis

Indexed keywords

CORROSION; GAS PIPELINES; MATHEMATICAL MODELS; REGRESSION ANALYSIS; REPAIR;

CONDITION ASSESSMENTS; CONDITION PREDICTION; INSPECTION DATUM; MAINTENANCE PLANS; OIL-AND-GAS PIPELINES; PIPELINE FAILURES; QUANTITATIVE METHOD; REHABILITATION PLANNING;

FORECASTING;

EID: 84901255496     PISSN: 07339364     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)CO.1943-7862.0000838     Document Type: Article

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