A numerical corrosion rate prediction method for direct assessment of wet gas gathering pipelines internal corrosion

Energies

Volumn 5, Issue 10, 2012, Pages 3892-3907

  Liao, Kexi ^a   Yao, Quanke ^b   Wu, Xia ^a   Jia, Wenlong ^a  

^a SOUTHWEST PETROLEUM UNIVERSITY   (China)

^b Southwest Company   (China)

Author keywords

Artificial neural network; Internal corrosion direct assessment; Numerical prediction; Pipeline; Wet gas

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; CORROSION; DEEP NEURAL NETWORKS; FORECASTING; GENETIC ALGORITHMS; NEURAL NETWORKS; NUMERICAL METHODS; PARTICLE SWARM OPTIMIZATION (PSO); PIPELINES;

BP ARTIFICIAL NEURAL NETWORK; GREY RELATIONAL ANALYSIS; INTERNAL CORROSION DIRECT ASSESSMENTS; NATIONAL ASSOCIATION OF CORROSION ENGINEERS; NUMERICAL PREDICTION MODELS; NUMERICAL PREDICTIONS; TOP-OF-LINE CORROSIONS; WET GAS;

CORROSION RATE;

EID: 84870361162     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en5103892     Document Type: Article

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