A new methodology to reduce uncertainties in reservoir simulation models using observed data and sampling techniques (Record no. 175673)

MARC details
000 -LEADER
fixed length control field 01855nab a2200205 4500
008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL
Campo de control de longitud fija 260224s2010 xxu
245 00 - TITULO
Título A new methodology to reduce uncertainties in reservoir simulation models using observed data and sampling techniques
260 ## - PUBLICACION, DISTRIBUCION, ETC
Lugar de publicación, distribución, etc.
Nombre de publicador, distribuidor, etc.
Fecha de publicación, distribución, etc. mayo 2010
270 ## - FECHA DE CARGA
Fecha de carga 03/08/2010 ; 02/08/2010
300 ## - DESCRIPCION FISICA
Otra extensión 10 p. ; 110-119
520 ## - RESUMEN, ETC
Resumen Transcripción del resumen del autor. This paper presents a new method to reduce uncertainties in reservoir simulation models using observed data and sampling techniques. The proposed methodology is able to deal with problems with a high number of reservoir uncertain attributes and includes the development of a probability redistribution algorithm using observed data. The use of Latin Hypercube technique in the construction of uncertainty curves that is a quantitative representation of the overall uncertainty of the problem studied was also proposed. Based on new probability distributions, selective samples are carried out through the Latin Hypercube technique. The methodology was evaluated using two case studies. The first one, used for validation purposes, is a simple reservoir with 8 attributes; the second one is a more complex case with 16 attributes. The results presented in the paper showed that the proposed methodology can be efficiently used in the integrated study of history matching and uncertainty analysis, providing a practical way to increase the reliability of prediction through reservoir simulation models reducing the uncertainty through observed data.
581 ## - ESTADO DE COLECCIÓN
Estado de colección 1-2
773 0# - CORRECCIÓN
Título Journal of Petroleum Science & Engineering
Partes relacionadas 72
942 ## - DESC. DE MATERIAL
Tipo de item KOHA Artículo de Revista
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Maschio, Célio
9 (RLIN) 24259
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Viegas de Carvalho, Cássio Pettan
9 (RLIN) 46153
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Schiozer, Denis José
9 (RLIN) 37526
Holdings
Biblioteca propietaria Biblioteca actual Fecha de adquisición Inventario Total de préstamos Inventario Fecha de carga Tipo de item KOHA
Biblioteca Alejandro Angel Bulgheroni Biblioteca Alejandro Angel Bulgheroni 05/03/2026 200047569   200047569 05/03/2026 Artículo de Revista


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