The optimal allocation of drainage areas and surface pads for SAGD development is challenging because of several surface and subsurface constraints. It becomes more complex due to uncertainty in reservoir properties. This Thesis presents a heuristic methodology to maximize the recovery of bitumen by optimal placement of drainage areas and surface pads. Multiple realizations of reservoir variables are used to quantify the uncertainty. The optimization problem can be seen as space packing and optimal allocation of well pairs. Space packing ensures the maximum access to available resource and optimal allocation of well pairs guarantees the maximum combined recovery over the field. A DASP (drainage area surface pad) software tool is developed and examples are presented to explain the optimization steps. Optimization considers the compact and non overlapping arrangements of drainage areas. Problem is converted into unconstrained optimization one by including penalties for different constraints. / Mining Engineering
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:AEU.10048/1920 |
| Date | 06 1900 |
| Creators | Kumar, Abhay |
| Contributors | Deutsch, Clayton (Department of Civil and Environmental Engineering), Boisvert, Jeff (Department of Civil and Environmental Engineering), Harris, Nicholas (Department of Earth & Atmospheric Sciences) |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 7453324 bytes, application/pdf |
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