Optimal Parameter Updating in Assisted History Matching Using Streamlines as a Guide (Record no. 187940)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02218nab a2200205 4500 |
| 008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL | |
| Campo de control de longitud fija | 260224s2013 xxu ing |
| 041 ## - IDIOMA | |
| Idioma | Inglés |
| 245 00 - TITULO | |
| Título | Optimal Parameter Updating in Assisted History Matching Using Streamlines as a Guide |
| 260 ## - PUBLICACION, DISTRIBUCION, ETC | |
| Lugar de publicación, distribución, etc. | |
| Nombre de publicador, distribuidor, etc. | |
| Fecha de publicación, distribución, etc. | ene./feb. 2013 |
| 270 ## - FECHA DE CARGA | |
| Fecha de carga | 25/10/2013 ; 25/10/2013 |
| 300 ## - DESCRIPCION FISICA | |
| Otra extensión | 17 p. ; 577-594 |
| 520 ## - RESUMEN, ETC | |
| Resumen | Transcripción del resumen del autor: It is becoming more and more common to use assisted history matching methods to find different combinations of reservoir simulation models that agree with production data. Models with a large number of cells contain millions of unknown parameters and selecting the correct property values can be difficult. In practice, not all are important but finding which parts of the reservoir require updating is a challenge. In this work, we investigate methods of history matching by focusing on sub-sets of the full array model parameters and we use streamlines to help us choose where the model requires change. We identify localities in the reservoir that affect particular wells and we update reservoir properties (net:gross and permeability) within. We control changes using the pilot point method combined with a Neighbourhood Algorithm. We apply these approaches to the Nelson field (North Sea, UK) where uncertainty of the shale distribution controls predictions. The field is divided into localities based on the performance of the worst well predictions. We history match to improve production rates. The localities that require change are sufficiently separate that we can modify them one at a time. We also compare our result with a more ad hoc approach where the whole area around the well is modified. We find that, for the wells of interest, the streamline guided approach gives a 70% improvement in the history match from our starting model and around 40% reduction of misfit in prediction. This improvement is twice that of modifying the properties all around the well. |
| 581 ## - ESTADO DE COLECCIÓN | |
| Estado de colección | 1 |
| 773 0# - CORRECCIÓN | |
| Título | Oil and Gas Science and Technology |
| Partes relacionadas | 68 |
| 942 ## - DESC. DE MATERIAL | |
| Tipo de item KOHA | Artículo de Revista |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Kazemi, A. |
| 9 (RLIN) | 53547 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Stephen, K.D. |
| 9 (RLIN) | 37934 |
| 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 | 200060094 | 200060094 | 06/03/2026 | Artículo de Revista |
