Optimization of production performance in a Co2 flooding reservoir under uncertainty (Record no. 170887)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02362nab a2200205 4500 |
| 008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL | |
| Campo de control de longitud fija | 260224s2010 xxu |
| 245 00 - TITULO | |
| Título | Optimization of production performance in a Co2 flooding reservoir under uncertainty |
| 260 ## - PUBLICACION, DISTRIBUCION, ETC | |
| Lugar de publicación, distribución, etc. | |
| Nombre de publicador, distribuidor, etc. | |
| Fecha de publicación, distribución, etc. | feb. 2010 |
| 270 ## - FECHA DE CARGA | |
| Fecha de carga | 14/06/2010 ; 10/06/2010 |
| 300 ## - DESCRIPCION FISICA | |
| Otra extensión | 8 p. ; 71-78 |
| 520 ## - RESUMEN, ETC | |
| Resumen | Transcripción del resumen del autor. CO2 flooding has gained momentum in the oil and gas industry and might be suitable for approximately 80% of oil reservoirs worldwide based on the oil recovery criteria alone. In addition to miscibility, production performance needs to be optimized to achieve higher sweep efficiency and oil recovery. Although many techniques have been made available for production optimization in the upstream oil and gas industry, it is still a challenging task to optimize production performance in the presence of physical and/or financial uncertainties. In this paper, a new technique is developed to optimize production performance in a CO2 flooding reservoir under uncertainty. More specifically, potential uncertainties influencing production performance are analyzed and assessed by using the geostatistical technique. This enables us to integrate the available information within a unified and consistent framework and to generate multiple geological realizations accounting for uncertainty and spatial variability. Subsequently, the net present value (NPV) is selected as the objective function to be optimized by using the genetic algorithm, while well rates of the injectors and the flowing bottomhole pressure for the producers are chosen as the controlling variables. In addition, corresponding modifications have been made to accelerate the convergence speed of the genetic algorithm. A field case is used to demonstrate the procedures of the newly developed technique and the optimized results show that the oil recovery and the NPV can be increased by 6.4% and 9.2%, respectively. It is also found that the genetic algorithm is a powerful and reliable search method to optimize production performance of reservoirs with complex structures. |
| 581 ## - ESTADO DE COLECCIÓN | |
| Estado de colección | 2 |
| 773 0# - CORRECCIÓN | |
| Título | Journal of Canadian Petroleum Technology |
| Partes relacionadas | 49 |
| 942 ## - DESC. DE MATERIAL | |
| Tipo de item KOHA | Artículo de Revista |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Chen, S. |
| 9 (RLIN) | 27439 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Li, H. |
| 9 (RLIN) | 20271 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Yang, D. |
| 9 (RLIN) | 21331 |
| 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 | 200045743 | 200045743 | 05/03/2026 | Artículo de Revista |
