Joint Inversion of Fracture Model Properties for CO2 Storage Monitoring or Oil Recovery History Matching (Record no. 187703)

MARC details
000 -LEADER
fixed length control field 02795nab 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 Verscheure, M.
9 (RLIN) 53211
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Fourno, A.
9 (RLIN) 53212
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Chilés, J.P.
9 (RLIN) 53213
245 00 - TITULO
Título Joint Inversion of Fracture Model Properties for CO2 Storage Monitoring or Oil Recovery History Matching
260 ## - PUBLICACION, DISTRIBUCION, ETC
Fecha de publicación, distribución, etc. mar./abr. 2012
270 ## - FECHA DE CARGA
Fecha de carga 17/05/2013 ; 17/05/2013
300 ## - DESCRIPCION FISICA
Otra extensión 14 p. ; 221-235
520 ## - RESUMEN, ETC
Resumen Traducción del resúmen del autor: For oil recovery or CO2 storage, "reservoirs" are commonly used to designate geological structures where oil can be found or CO2 can be stored. All reservoirs present a heterogeneity in terms of rock type and properties (such as porosity and permeability). In addition, some of these reservoirs present fractures and faults. Fractured reservoirs are an important part of the oil reserves in the world (Middle East, Gulf of Mexico, etc.) and some of them are important reservoirs in terms of oil volume and productivity in spite of the fractures. In addition, studies of reservoirs for geologic storage of CO2 have shown the existence of diffuse fractures and faults and their strong impacts on flow. A key point in fractured reservoirs is to understand the geometry and hydraulic conductivity of the network formed by the fractures. This requires the construction of a reservoir model that integrates all available conceptual knowledge and quantitative data. The topic of the present paper deals with a new methodology able to perform the history matching of a fractured reservoir model by adapting the sub-seismic fault properties and positions. The main difficulty of this work is to generate a sub-seismic fault network whose fault positions can be easily modified while respecting the statistical fault model. The sub-seismic fault model we have chosen allows us to obtain a sub-seismic fault network that is consistent with the seismic fault network and that succeeds in capturing the specific spatial organization of the faults. In a first step, the geometry of the seismic fault network is characterized using fractal methods. Sub-seismic faults are then generated according to a stochastic algorithm. Finally, the geometry of this discrete fracture network is optimized in order to match the hydrodynamic data about the reservoir. The optimization algorithm modifies the sub-seismic fault positions, leading to the history matching of the reservoir model. Fractal properties are preserved during the deformation process. These different steps are demonstrated on a realistic synthetic case.
581 ## - ESTADO DE COLECCIÓN
Estado de colección 2
773 0# - CORRECCIÓN
Título Oil and Gas Science and Technology
Partes relacionadas 67
942 ## - DESC. DE MATERIAL
Tipo de item KOHA Artículo de Revista
Fuente de clasificación Dewey Decimal Classification
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 200059845   200059845 06/03/2026 Artículo de Revista


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