Efficient workflow for optimizing well controls (Record no. 187089)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02473nab a2200193 4500 |
| 008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL | |
| Campo de control de longitud fija | 260224s2012 xxu |
| 245 00 - TITULO | |
| Título | Efficient workflow for optimizing well controls |
| 260 ## - PUBLICACION, DISTRIBUCION, ETC | |
| Lugar de publicación, distribución, etc. | |
| Nombre de publicador, distribuidor, etc. | |
| Fecha de publicación, distribución, etc. | 2012 |
| 270 ## - FECHA DE CARGA | |
| Fecha de carga | 26/04/2012 ; 26/04/2012 |
| 300 ## - DESCRIPCION FISICA | |
| Otra extensión | 8 p. ; 66-74 |
| 520 ## - RESUMEN, ETC | |
| Resumen | Transcripción del resumen del autor: Due to the large dimensionality of typical rate optimization problems, most approaches for field optimization are local search methods. Achievable optima by these methods are directly impacted by the choice of the initial guess for the sought optimal profiles. Here we propose, first, a new formulation of the waterflooding optimization problem to reduce the number of the optimization variables considerably, and, second, a simple low-cost framework to efficiently initialize local-search optimization algorithms, based on accepted reservoir engineering concepts. The initialization strategy is applied to history matched model of the Brugge field (Peters et al., 2010), prepared for a closed-loop reservoir management comparative study in connection with SPE Applied Technology Workshop in June 2008. Also we evaluate three different optimization algorithms and compare the results with two previous works ( and ). The optimization algorithms are pattern search Hooke–Jeeves, reflection simplex Nelder–Mead and sequential quadratic programming. The optimized variables in terms of the achieved net present value clearly outperformed the best solution obtained so far on these history matched models. The workflow has several advantages. First, it is simple and easy to program in every reservoir simulator. Second, it needs only one single forward simulation to obtain a reasonable initial solution. Third, the nonlinear constraints are handled by the simulator and therefore do not need a complex implementation of the nonlinear inequality constraints. Finally, the workflow is in line with the existing optimization approaches and the output from the workflow can be used as input to the other algorithms for further improvement of the results. Among the optimization algorithms the Hooke–Jeeves method performed better than the other algorithms. |
| 773 0# - CORRECCIÓN | |
| Título | Journal of Petroleum Science & Engineering |
| Partes relacionadas | 82-8360 |
| 942 ## - DESC. DE MATERIAL | |
| Tipo de item KOHA | Artículo de Revista |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Asadollahi, Masoud |
| 9 (RLIN) | 52466 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Naevdal, Geir |
| 9 (RLIN) | 52467 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Shafieirad, Ali |
| 9 (RLIN) | 52468 |
| 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 | 200059194 | 200059194 | 06/03/2026 | Artículo de Revista |
