An artificial neural network approach to predict asphaltene deposition test result

Fluid Phase Equilibria

Volumn 329, Issue , 2012, Pages 32-41

  Rasuli nokandeh, Nafice ^a   Khishvand, Mahdi ^a   Naseri, Ali ^b  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b RESEARCH INSTITUTE OF PETROLEUM INDUSTRY RIPI   (Iran)

Author keywords

Artificial neural network; Asphaltene deposition; Training data; Validation data

Indexed keywords

ARTIFICIAL NEURAL NETWORK APPROACH; ASPHALTENE DEPOSITION; COST SAVING; EXPERIMENTAL STUDIES; FLOW ASSURANCE; INNOVATIVE METHOD; LIVE OIL; PERMEABILITY REDUCTION; PIPELINE PLUGGING; PRODUCTION RATES; SOLUTION ALGORITHMS; TRAINING DATA; UNKNOWN VALUES; VALIDATION DATA; WETTABILITY REVERSAL;

DEPOSITION; FORECASTING; NEURAL NETWORKS; PETROLEUM RESERVOIR ENGINEERING;

ASPHALTENES;

EID: 84862998704     PISSN: 03783812     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fluid.2012.06.001     Document Type: Article

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