History Matching of Production and 4D Seismic Data: Application to the Girassol Field, Offshore Angola (Record no. 187706)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03701nab a2200265 4500 |
| 008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL | |
| Campo de control de longitud fija | 260224s2012 xxu ing |
| 041 ## - IDIOMA | |
| Idioma | Inglés |
| 245 00 - TITULO | |
| Título | History Matching of Production and 4D Seismic Data: Application to the Girassol Field, Offshore Angola |
| 260 ## - PUBLICACION, DISTRIBUCION, ETC | |
| Lugar de publicación, distribución, etc. | |
| Nombre de publicador, distribuidor, etc. | |
| Fecha de publicación, distribución, etc. | mar./abr. 2012 |
| 270 ## - FECHA DE CARGA | |
| Fecha de carga | 27/05/2013 ; 27/05/2013 |
| 300 ## - DESCRIPCION FISICA | |
| Otra extensión | 25 p. ; 237-262 |
| 520 ## - RESUMEN, ETC | |
| Resumen | Traducción del resúmen del autor: Time-lapse seismic provides a source of valuable information about the evolution in space and time of the distribution of hydrocarbons inside reservoirs. Seismic monitoring improves our understanding of production mechanisms and makes it possible to optimize the recovery of hydrocarbons. Although 4D seismic data are increasingly used by oil companies, they are often qualitative, due to the lack of suitable interpretation techniques. Recent modeling experiments have shown that the integration of 4D seismic data for updating reservoir flow models is feasible. However, methodologies based on sequential interpretation of 4D seismic data, trial and error processes and fluid flow simulation tests require a great effort from integrated teams. The development of assisted history matching techniques is a significant improvement towards a quantitative use of 4D seismic data in reservoir modeling. This paper proposes an innovative methodology based on advanced history matching solutions to constrain 3D stochastic reservoir models to both production history and 4D seismic attributes. In this approach, geostatistical modeling, upscaling, fluid flow simulation, downscaling and petro-elastic modeling are integrated into the same history matching workflow. Simulated production history and 4D seismic attributes are compared to real data using an objective function, which is minimized with a new optimization algorithm based on response surface fitting. The gradual deformation method is used to constrain the facies realization, globally or locally, which populates the geological model at the fine scale. Moreover, a new method is proposed to update facies proportions during the optimization process according to 4D monitoring information. We present here a successful application to the Girassol field. Girassol is a large, complex and faulted turbidite field, located offshore Angola. First, a detailed geostatistical geological model was built to describe reservoir heterogeneity at the fine scale, while respecting 3D base seismic data. Second, the model was constrained to production data and 4D seismic attributes, applying gradual deformation to facies realizations and varying facies proportions. The integration of 4D seismic data led to better production forecasts and improved predictions confirmed by a new seismic survey shot two years after the history matching period. 4D seismic data also contributed to better characterize the spatial distribution of heterogeneities in the field. As a result, the fine scale geological model was improved consistently with respect to the fluid flow simulation model and the observed data. The Girassol study, already presented in (Roggero et al., 2007, 2008), has been updated with recent information and a more detailed presentation concerning the construction of the geological model based on 3D seismic data. |
| 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 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Roggero, F. |
| 9 (RLIN) | 20075 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Lerat, O. |
| 9 (RLIN) | 37947 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Ding, D.Y. |
| 9 (RLIN) | 53216 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Berthet, P. |
| 9 (RLIN) | 12784 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Bordenave, C. |
| 9 (RLIN) | 53217 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Lefeuvre, F. |
| 9 (RLIN) | 37948 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Perfetti, P. |
| 9 (RLIN) | 53218 |
| 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 | 200059849 | 200059849 | 06/03/2026 | Artículo de Revista |
