Investigation of Artificial Neural Networks Performance to Predict Net Heating Value of Crude Oil by Its Properties

The aim of this research is to use artificial neural networks computing technology for estimating the net heating value (NHV) of crude oil by its Properties. The approach is based on training the neural network simulator uses back-propagation as the learning algorithm for a predefined range of analytically generated well test response. The network with 8 neurons in one hidden layer was selected and prediction of this network has been good agreement with experimental data.

• Mousavian
• M. Moghimi Mofrad
• M. H. Vakili
• D. Ashouri
• R. Alizadeh

• Neural Network
• Net Heating Value
• Crude Oil
• Experimental
• Modeling.

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