MODELADO DE RESERVORIOS FLUVIALES MEDIANTE SIMULACIÓN DE PROCESOS FÍSICOS COMBINADO CON GEOESTADÍSTICA, PILOTO EL TRÉBOL (Record no. 195893)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02483nmc a2200229 4500 |
| 008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL | |
| Campo de control de longitud fija | 260224s xxu |
| 082 ## - CLASIFICACIÓN DEWEY | |
| Número de clasificación | 068.82 553.28 C62 15730 |
| 210 ## - TITULO ABREVIADO | |
| Título abreviado | Desarrollo y Sustentabilidad |
| 245 00 - TITULO | |
| Título | MODELADO DE RESERVORIOS FLUVIALES MEDIANTE SIMULACIÓN DE PROCESOS FÍSICOS COMBINADO CON GEOESTADÍSTICA, PILOTO EL TRÉBOL |
| 270 ## - FECHA DE CARGA | |
| Fecha de carga | 10/08/2023 ; 10/08/2023 |
| 300 ## - DESCRIPCION FISICA | |
| Otra extensión | 16 p. ; 419-434 |
| 520 ## - RESUMEN, ETC | |
| Resumen | This work analyzes the feasibility of building a three-dimensional fluvial model by combining geostatistics and geological processes simulation. This methodology was applied for clastic reservoirs prognosis and estimation in the Mina del Carmen Formation in the El Trebol oilfield, Golfo San Jorge basin. As a first step, a geologic process modeling technique was used for creating a valid numerical model which honored the conceptual model. Different descriptive parameters of geological processes were set to control the simulation of sand and reservoir deposition. The results were qualitatively compared with a seismic cube, and quantitatively validated with sand fraction, areal and vertical trends. As a second step, a geostatistical approach was used to match spatial sand distribution with well data. Sequential Indicator and Multiple Point Statistics simulation methods were used with the process simulation model as a trend. Both results were compared, and the whole process was validated with blind tests over three wells. The Multiple point simulation showed better sand prediction and spatial continuity. This case study showed that the combined two methodologies turned out with acceptable results and achieved benefits from both. In this way, a good match to well data and trends was obtained due to the geostatistical methods, and besides geoforms and conceptual model were better captured due to the process simulation. This combined methodology can improve forecasts, specially at initial stages in oilfield development, with a low number of wells and big uncertainty. |
| 773 ## - CORRECCIÓN | |
| Partes relacionadas | |
| 942 ## - DESC. DE MATERIAL | |
| Tipo de item KOHA | Congresos (trabajos presentados) |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Larriestra, Claudio |
| 9 (RLIN) | 5266 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Genini, Luciano |
| 9 (RLIN) | 58663 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Saccomano, Alejandro |
| 9 (RLIN) | 55735 |
| 111 2# - AUTORIDAD DE CONGRESO | |
| Nombre de congreso | Congreso de Exploración y Desarrollo de Hidrocarburos (11er : 2022 nov. 8 - 11 : Mendoza) |
| 9 (RLIN) | 61064 |
| 856 ## - LINK | |
| Link | <a href="https://biblioteca.iapg.org.ar/ArchivosAdjuntos/Conexplor2022/Desarr-y-Sustent/desarrollo-y-sustentabilidad23.PDF">https://biblioteca.iapg.org.ar/ArchivosAdjuntos/Conexplor2022/Desarr-y-Sustent/desarrollo-y-sustentabilidad23.PDF</a> |
| Biblioteca propietaria | Biblioteca actual | Ubicación | Fecha de adquisición | Inventario | Total de préstamos | Signatura topográfica | Inventario | Fecha de carga | Tipo de item KOHA |
|---|---|---|---|---|---|---|---|---|---|
| Biblioteca virtual | Biblioteca virtual | 068.82 553.28 C62 15730 | 06/03/2026 | 200068310 | 068.82 553.28 C62 15730 | 200068310 | 06/03/2026 | Archivo electrónico |
