Development and Testing of Two-Phase Relative Permeability Predictors Using Artificial Neural Networks (Record no. 130829)

MARC details
000 -LEADER
fixed length control field 02719nmc a2200277 4500
008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL
Campo de control de longitud fija 260224s2001 xxu ing
041 ## - IDIOMA
Idioma Inglés
245 00 - TITULO
Título Development and Testing of Two-Phase Relative Permeability Predictors Using Artificial Neural Networks
Subtítulo SPE 69392
260 ## - PUBLICACION, DISTRIBUCION, ETC
Lugar de publicación, distribución, etc. Dallas, Texas
Nombre de publicador, distribuidor, etc. Society of Petroleum Engineers
Fecha de publicación, distribución, etc. 2001
270 ## - FECHA DE CARGA
Fecha de carga 12/09/06 ; 17/07/01
520 ## - RESUMEN, ETC
Resumen Abstract Artificial neural networks (ANNs) provide a powerful toolbox to perform nonlinear, multi-dimensional interpolations. In this paper, we include a new methodology to identify some of the vague nonlinear relationships that exist between rock and fluid properties and relative permeability characteristics. More specifically, we report liquid/liquid and liquid/gas two-phase relative permeability predictors that we have developed using back-propagation networks. In this class of ANNs, information is passed from input layer to output layer, and calculated errors are propagated back to adjust the connection weights in a sequential manner to improve the predictive capabilities of the models. In the development stage, some of the relative permeability data from literature are used during the training stage while some other sets are preserved to test the prediction capabilities of the models. Various rock and fluid properties such as end-point saturations, porosity, permeability, viscosity and interfacial tension and some functional links (mathematical groups coupling various rock and fluid properties) constitute the input parameters of the models. These rock and fluid parameters together with the functional links highlight the dependency of relative permeability characteristics on such properties and functional groups. The models developed for oil/water and oil/gas systems are different in terms of their respective topologies, functional links, and the weight updating schemes. The models are found to successfully predict the field and experimental relative permeability data.
942 ## - DESC. DE MATERIAL
Tipo de item KOHA Congresos (trabajos presentados)
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Silpngarmlers, N.
9 (RLIN) 5734
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Guler, B.
9 (RLIN) 5735
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Ertekin, T.
9 (RLIN) 5736
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Grader, A.S.
9 (RLIN) 5737
111 2# - AUTORIDAD DE CONGRESO
Nombre de congreso Latin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina)
9 (RLIN) 5738
700 1# - OTRA AUTORIDAD PERSONAL
Nombre Guler, B.
9 (RLIN) 5735
700 1# - OTRA AUTORIDAD PERSONAL
Nombre Ertekin, T.
9 (RLIN) 5736
700 1# - OTRA AUTORIDAD PERSONAL
Nombre Grader, A.S.
9 (RLIN) 5737
711 2# - ENTRADA AGREGADA--NOMBRE DE REUNIÓN
Nombre de congreso/reunión o jurisdicción como elemento de entrada Latin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina)
800 1# - RESPONSABLE EDICION
Nombre Silpngarmlers, N.
9 (RLIN) 5734
856 ## - LINK
Link <a href="https://biblioteca.iapg.org.ar/ArchivosAdjuntos/LACPEC2001/Spe69392.pdf">https://biblioteca.iapg.org.ar/ArchivosAdjuntos/LACPEC2001/Spe69392.pdf</a>
711 2# - ENTRADA AGREGADA--NOMBRE DE REUNIÓN
-- 5738
Holdings
Biblioteca propietaria Biblioteca actual Fecha de adquisición Inventario Total de préstamos Inventario Fecha de carga Tipo de item KOHA
Biblioteca virtual Biblioteca virtual 03/03/2026 200002868   200002868 03/03/2026 Archivo electrónico


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