Prediction of Crude Oil Viscosity using Feed-Forward back-Propagation neural network (FFBPNN)

Prediction of Crude Oil Viscosity using Feed-Forward back-Propagation neural network (FFBPNN)

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Crude oil viscosity is an important governing parameter of fluid flow both in the porous media and in pipelines. So, estimating the oil viscosity at various operating conditions with accuracy is of utmost importance to petroleum engineers. Usually, oil viscosity is determined by laboratory measurements at reservoir temperature. However, laboratory experiments are rather expensive and in most...
 
Published at Petroleum & Coal, 54(2): 124-135
Published in 2012
 
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Makinde, F. A., Ako, C. T., Orodu, O. D. and Asuquo, I. U.
Orodu Oyinkepreye David » Dr Oyinkepreye David Orodu has varied Oil & Gas industry experience spanning field operations and academia. He has authored/ co-authored over 50 publications including SPE papers and journal articles, and reviews articles for publication in journals. Preye holds a bachelor's degree in Chemical Engineering and master's and a doctorate in Petroleum Engineering. His areas of core competence are... view full profile
Orodu Oyinkepreye David
 
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