An Improved Adjoint-Sensitivity Computation for Multiphase Flow Using Wavelets (Record no. 187502)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02437nab a2200205 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 | An Improved Adjoint-Sensitivity Computation for Multiphase Flow Using Wavelets |
| 260 ## - PUBLICACION, DISTRIBUCION, ETC | |
| Lugar de publicación, distribución, etc. | |
| Nombre de publicador, distribuidor, etc. | |
| Fecha de publicación, distribución, etc. | jun. 2012 |
| 270 ## - FECHA DE CARGA | |
| Fecha de carga | 17/12/2012 ; 17/12/2012 |
| 300 ## - DESCRIPCION FISICA | |
| Otra extensión | 15 p. ; 402-417 |
| 520 ## - RESUMEN, ETC | |
| Resumen | Transcripción del resumen del autor In history matching, one of the challenges in the use of gradient-based Newton algorithms (e.g., Gauss-Newton and Levenberg-Marquardt) in solving the inverse problem is the huge cost associated with the computation of the sensitivity matrix. Although the Newton type of algorithm gives faster convergence than most other gradient-based inverse solution algorithms, its use is limited to small- and medium-scale problems in which the sensitivity coefficients are easily and quickly computed. Modelers often use less-efficient algorithms (e.g., conjugate-gradient and quasi-Newton) to model large-scale problems because these algorithms avoid the direct computation of sensitivity coefficients. To find a direction of descent, such algorithms often use less-precise curvature information that would be contained in the gradient of the objective function. Using a sensitivity matrix gives more-complete information about the curvature of the function; however, this comes with a significant computational cost for large-scale problems. An improved adjoint-sensitivity computation is presented for time-dependent partial-differential equations describing multiphase flow in hydrocarbon reservoirs. The method combines the wavelet parameterization of data space with adjoint-sensitivity formulation to reduce the cost of computing sensitivities. This reduction in cost is achieved by reducing the size of the linear system of equations that are typically solved to obtain the sensitivities. This cost-saving technique makes solving an inverse problem with algorithms (e.g., Levenberg-Marquardt and Gauss-Newton) viable for large multiphase-flow history-matching problems. The effectiveness of this approach is demonstrated for two numerical examples involving multiphase flow in a reservoir with several production and injection wells. |
| 581 ## - ESTADO DE COLECCIÓN | |
| Estado de colección | 2 |
| 773 0# - CORRECCIÓN | |
| Título | SPE Journal |
| Partes relacionadas | 17 |
| 942 ## - DESC. DE MATERIAL | |
| Tipo de item KOHA | Artículo de Revista |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Awotunde, A.A. |
| 9 (RLIN) | 52882 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Horne, R.N. |
| 9 (RLIN) | 52883 |
| 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 | 200059621 | 200059621 | 06/03/2026 | Artículo de Revista |
