A hybrid artificial neural network and genetic algorithm for predicting viscosity of Iranian crude oils

Journal of Natural Gas Science and Engineering

Volumn 18, Issue , 2014, Pages 312-323

  Ghorbani, Bahram ^a   Ziabasharhagh, Masoud ^a   Amidpour, Majid ^a  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial neural network; Correlation; Oil API gravity; Oil viscosity; Operating conditions; Sensitivity analysis

Indexed keywords

CORRELATION METHODS; ESTIMATION; GENETIC ALGORITHMS; NEURAL NETWORKS; SENSITIVITY ANALYSIS;

API GRAVITIES; EFFICIENT ESTIMATION; GROUP METHOD OF DATA HANDLING; HYBRID ARTIFICIAL NEURAL NETWORK; OIL VISCOSITY; OPERATING CONDITION; POLYNOMIAL CORRELATIONS; RESERVOIR TEMPERATURES;

VISCOSITY;

EID: 84897520403     PISSN: 18755100     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jngse.2014.03.011     Document Type: Article

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