Artificial neural network models for predicting condition of offshore oil and gas pipelines

Automation in Construction

Volumn 45, Issue , 2014, Pages 50-65

  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

Artificial neural network; Condition prediction; Offshore oil and gas pipelines

Indexed keywords

CORROSION; GAS PIPELINES; NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK MODELS; CONDITION PREDICTION; INSPECTION DATUM; NUMEROUS MODELS; OFFSHORE OIL; OIL-AND-GAS PIPELINES; PIPELINE OPERATOR; VALIDATION DATA;

FORECASTING;

EID: 84901437920     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2014.05.003     Document Type: Article

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