Título del libro: Asme International Mechanical Engineering Congress And Exposition, Proceedings (imece)
Título del capítulo: Development of a new void fraction correlation for modeling two-phase flow in producing geothermal wells using artificial neural networks
EDGAR ROLANDO SANTOYO GUTIERREZ; OCTAVIO GARCIA VALLADARES;
Autores externos:
Idioma:
Inglés
Año de publicación:
2010
Palabras clave:
Computational architecture; Empirical correlations; Engineering correlations; Flowing pressures; Hyperbolic tangent; Levenberg-Marquardt optimization; Production wells; Simulated results; Algorithms; Climate change; Geothermal wells; Input output programs; Mechanical engineering; Neural networks; Oil field equipment; Reynolds number; Systems analysis; Thermodynamics; Void fraction; Well testing; Two phase flow
Resumen:
An artificial neural network (ANN) was used to develop a new empirical correlation to estimate void fractions for modeling two-phase flows in geothermal wells. Flowing pressure, wellbore diameter, steam quality, fluid density and viscosity, and Reynolds numbers were used as input data. An explicit relationship among the input data was obtained from an ANN model. A computational architecture based on, the Levenberg-Marquardt optimization algorithm, the hyperbolic tangent sigmoid transfer-function, and the linear transfer-function, was designed. A geothermal database containing thirty-two data sets logged in production well tests were used both to train and to validate the ANN. The best training results were obtained for an ANN architecture of five neurons in the hidden layer, which made possible to predict void fractions with a satisfactory efficiency (R2=0.992). From this ANN training pattern, a new empirical correlation was developed and coupled into a wellbore simulator for modeling two-phase flows in other geothermal wells (to avoid bias). Four well-known engineering correlations for calculating the void fraction were simultaneous evaluated. The simulated results (obtained with the five void fraction correlations) were statistically compared with measured field data. A better agreement between simulated and field data was systematically obtained for the new ANN correlation with matching errors less than 3%. These results suggest that the new empirical correlation can be reliable used to estimate void fractions in two-phase geothermal wellbores. Copyright © 2010 by ASME.
Entidades citadas de la UNAM:
ISBN:
9780791844298
Editorial:
