Evaluation of the objective functions to improve production history matching performance based on fluid flow behaviour in reservoirs (Record no. 186567)

MARC details
000 -LEADER
fixed length control field 01921nab a2200181 4500
008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL
Campo de control de longitud fija 260224s2011 xxu
245 00 - TITULO
Título Evaluation of the objective functions to improve production history matching performance based on fluid flow behaviour in reservoirs
260 ## - PUBLICACION, DISTRIBUCION, ETC
Lugar de publicación, distribución, etc.
Nombre de publicador, distribuidor, etc.
Fecha de publicación, distribución, etc. jul. 2011
270 ## - FECHA DE CARGA
Fecha de carga 18/11/2011 ; 18/11/2011
300 ## - DESCRIPCION FISICA
Otra extensión 12 p. ; 42-53
520 ## - RESUMEN, ETC
Resumen Transcripción del resumen del autor. This work deals with the problem of model performance evaluation, which is a challenge in many science branches, including subsurface fluid flow modelling (e.g. reservoir characterisation using history matching algorithms). The issue is posed as a problem of estimating the model performance by comparing the simulation results with observed data. This is accomplished by defining different statistical indicator objective functions (OF) to calculate the model efficiency, i.e. how model simulation fits observed data. Several deviation-based statistics used in literature as OF are analysed and applied to two synthetic case studies related to fluid flow in reservoir. Inaccuracies that arise from using the deviation-based statistics are discussed in a comparative way to propose an appropriate approach to boost the model accuracy when selecting the best realisation from multiple equally realisations generated during the history matching algorithm. The evaluations reveal that the suitable approach requires the adoption of an OF, that combines lag time with deviation-based statistic (SSR), to enhance the history matching process. The proposed approach has proven robust in the sense that it is able to provide an accurate and faster history matching algorithm for reservoir characterisation.
581 ## - ESTADO DE COLECCIÓN
Estado de colección 1
773 0# - CORRECCIÓN
Título Journal of Petroleum Science & Engineering
Partes relacionadas 78
942 ## - DESC. DE MATERIAL
Tipo de item KOHA Artículo de Revista
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Mata-Lima, Herlander
9 (RLIN) 40805
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 06/03/2026 200058669   200058669 06/03/2026 Artículo de Revista


Instituto Argentino del Petróleo y del Gas
Maipú 639 (C1006ACG) – Buenos Aires – Argentina
Tel: (54 11) 5277 IAPG (4274)
Lu - Vie 11 a 17 hs
Mail: biblio@iapg.org.ar


Copyright © 2026, Instituto Argentino del Petróleo y del Gas, todos los derechos reservados.

Protección de datos personales