Data assimilation for nonlinear problems by ensemble Kaman filter with reparameterization (Record no. 170749)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02717nab a2200205 4500 |
| 008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL | |
| Campo de control de longitud fija | 260224s2009 xxu |
| 245 00 - TITULO | |
| Título | Data assimilation for nonlinear problems by ensemble Kaman filter with reparameterization |
| 260 ## - PUBLICACION, DISTRIBUCION, ETC | |
| Lugar de publicación, distribución, etc. | |
| Nombre de publicador, distribuidor, etc. | |
| Fecha de publicación, distribución, etc. | mayo 2009 |
| 270 ## - FECHA DE CARGA | |
| Fecha de carga | 07/06/2010 ; 07/06/2010 |
| 300 ## - DESCRIPCION FISICA | |
| Otra extensión | 14 p. ; 1-14 |
| 520 ## - RESUMEN, ETC | |
| Resumen | Transcripción del resumen del autor. Owing to its simplicity and efficiency, the ensemble Kalman filter (EnKF) is being used to assimilate static and dynamic measurements to continuously update reservoir properties and responses. Many EnKF implementations have shown promising results even when applied to multiphase flow history matching problems. A Gaussian density for model parameters and state variables is an implicit requirement for obtaining satisfactory estimates through the EnKF or its variants. The EnKF may not work properly when the relationship between model parameters, state variables, and observations are strongly nonlinear and the resulting joint probability distribution is non-Gaussian. For instance, near the displacement front of an immiscible flow, use of the EnKF to directly update saturation may lead to non-physical results. In this work, we address the non-Gaussian effect through a change in parameterization. Instead of directly updating the saturation, the time of saturation arrival (at a particular saturation) is included in the state vector. The time variable is correlated with the reservoir properties and other reservoir responses and its density is better approximated by a Gaussian distribution. After updating the time of saturation arrival through the EnKF, the updated arrival time distribution is transformed back to estimate the saturation of the eservoir. The new approach has better performance in the presence of strong non-Gaussianities but requires a larger computation time than does the traditional EnKF, which works well when the Gaussian assumption is not trongly violated. In order to achieve both accuracy and efficiency, the EnKF with reparameterization can be used in conjunction with the traditional EnKF as an option to account for possible highly non-Gaussian densities. The EnKF with reparameterization is illustrated with a problem under highly non-Gaussian conditions, and the effectiveness of the combination of the new approach and the traditional EnKF is demonstrated with history matching of multiphase flow in a heterogeneous reservoir. |
| 581 ## - ESTADO DE COLECCIÓN | |
| Estado de colección | 1-2 |
| 773 0# - CORRECCIÓN | |
| Título | Journal of Petroleum Science & Engineering |
| Partes relacionadas | 66 |
| 942 ## - DESC. DE MATERIAL | |
| Tipo de item KOHA | Artículo de Revista |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Chen, Yan |
| 9 (RLIN) | 42191 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Oliver, Dean S. |
| 9 (RLIN) | 42192 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Zhang, Dongxiao |
| 9 (RLIN) | 42193 |
| 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 | 05/03/2026 | 200045602 | 200045602 | 05/03/2026 | Artículo de Revista |
