TY - GEN
T1 - Modelling of petroleum multiphase fluids in ESPs an intelligent approach
AU - Mohammadzaheri, M.
AU - Tafreshi, R.
AU - Khan, Z.
AU - Franchek, M.
AU - Grigoriadis, K.
N1 - Publisher Copyright:
© 2015 Society of Petroleum Engineers. All rights reserved.
PY - 2015
Y1 - 2015
N2 - This paper proposes an artificial neural network (ANN) to estimate head of two-phase petroleum fluids in electrical submersible pumps (ESPs) as an alternative to existing widely used empirical models. Analytical models have been also developed for this purpose which are still unattractive due to their complexity, reliance on over-simplified assumptions, need to excessive extent of information or lack of accuracy. The proposed ANN is trained with the same data used in developing a number of empirical models; however, the ANN presents evidently higher accuracy in the entire operating area with a low computation time in the order of milliseconds to be run on an office personal computer.
AB - This paper proposes an artificial neural network (ANN) to estimate head of two-phase petroleum fluids in electrical submersible pumps (ESPs) as an alternative to existing widely used empirical models. Analytical models have been also developed for this purpose which are still unattractive due to their complexity, reliance on over-simplified assumptions, need to excessive extent of information or lack of accuracy. The proposed ANN is trained with the same data used in developing a number of empirical models; however, the ANN presents evidently higher accuracy in the entire operating area with a low computation time in the order of milliseconds to be run on an office personal computer.
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M3 - Conference contribution
AN - SCOPUS:84975517604
SN - 9788894043648
T3 - Offshore Mediterranean Conference and Exhibition, OMC 2015
BT - Offshore Mediterranean Conference and Exhibition, OMC 2015
PB - Offshore Mediterranean Conference
T2 - Offshore Mediterranean Conference and Exhibition, OMC 2015
Y2 - 25 March 2015 through 27 March 2015
ER -