Uncertainty Analysis of a Fractured Reservoir's Performance (Record no. 187694)

MARC details
000 -LEADER
fixed length control field 02017nab a2200217 4500
008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL
Campo de control de longitud fija 260224s2012 xxu ing
041 ## - IDIOMA
Idioma Inglés
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Khosravi, M.
9 (RLIN) 53188
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Rostami, B.
9 (RLIN) 43421
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Fatemi, S.
9 (RLIN) 53189
245 00 - TITULO
Título Uncertainty Analysis of a Fractured Reservoir's Performance
Subtítulo A Case Study
260 ## - PUBLICACION, DISTRIBUCION, ETC
Lugar de publicación, distribución, etc.
Nombre de publicador, distribuidor, etc.
Fecha de publicación, distribución, etc. mayo/jun. 2012
270 ## - FECHA DE CARGA
Fecha de carga 15/05/2013 ; 15/05/2013
300 ## - DESCRIPCION FISICA
Otra extensión 10 p. ; 423-433
520 ## - RESUMEN, ETC
Resumen Traducción del resúmen del autor: In recent years, the oil industry has given great importance to reservoir management and reservoir uncertainty analysis. The development of a method that can model and quantify uncertainties in reservoir simulation studies in an efficient and practical way is clearly desirable. Different approaches such as Response Surface Methodology (RSM) and Monte-Carlo simulation have been used to address the uncertainties. In this paper, response surface method is used to realize the most influential parameters on pressure drop and recovery factor changes, regarding their practical levels of uncertainties during the development of fractured reservoir model. The present approach is performed to magnify the significant parameters and developing compatible and more realistic proxy equation for forecasting oil recovery from a typical low permeable fractured reservoir. The proxy model allows Monte-Carlo analysis to determine sensitivities and the quantification of the impact of uncertainty on production forecasts. Results indicate that the oil recovery is more sensitive to aquifer strength, fracture permeability and block height. In addition, however the interaction between other parameters, such as matrix size, fracture permeability and aquifer volume, showed a degree of importance during this analysis. Monte-Carlo analysis forecasts wide range of oil recovery for this field development.
581 ## - ESTADO DE COLECCIÓN
Estado de colección 3
773 ## - CORRECCIÓN
Partes relacionadas
942 ## - DESC. DE MATERIAL
Tipo de item KOHA Artículo de Revista
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 200059836   200059836 06/03/2026 Artículo de Revista


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