DEVELOPMENT OF COMPOSITIONAL MODEL FOR PREDICTING VISCOSITY OF CRUDE OILS USING POLYNOMIAL NEURAL NETWORKS (PNN) INDUCED BY GROUP METHOD OF DATA HANDLING (GMDH)
Viscosity or the intemal resistance of the fluids to flow is the most important transport property that controls and influences the flow of oil through porous media and pipes. Accurate predictions of reservoir fluids are required in equation of state (EOS) based reservoir simulators. Due to time...
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| Format: | Final Year Project |
| Language: | English |
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Universiti Teknologi PETRONAS
2011
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| Online Access: | http://utpedia.utp.edu.my/10407/1/2011%20-%20Devolopment%20of%20compositional%20model%20for%20predicting%20viscosity%20of%20crude%20oils%20using%20polynomial.pdf http://utpedia.utp.edu.my/10407/ |
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