Seminários e Teses

Próximos- Anteriores-
Esta semana (de 15/12 a 21/12)
Dissertação de Mestrado
Gridding and scaling strategies for unstructured reservoir flow simulation
André Paoliello Modenesi, PUC-Rio

Data: 16/12/2019 às 14h e 0min
Local: Moni-auditório do RDC

Orientador: Ivan Menezes e Leonardo Duarte
Área de Concentração: Petróleo e Energia


grids, with a size ranging from a few thousands to tens of millions of cells. Some simulations can have a high computational cost that hinders the field development studies, even using the processing power available nowadays.
Unstructured meshes are an effective alternative to reduce the size of reservoir models (and, consequently, the overall simulation time) without sacrificing the quality of the results. In this work, we adopt Voronoi meshes, also known as perpendicular bisector grids, since their properties simplify the discretized flow equations in reservoir simulations when compared to other types of unstructured meshes.
Two main steps are critical to creating an unstructured reservoir model from a refined geological model: grid generation and upscaling of the reservoir properties. Most methods employed for both steps rely on information obtained from simulations using fine-scale meshes. Although this approach yields good results, it can be time-consuming and may be optimal only for the specified set of flow conditions.
This work discusses the generation of unstructured grids and upscaling techniques that do not require any previous simulations. Instead, they are based only on reservoir property distributions and the location of discrete features such as wells and faults. The proposed grid generation strategy starts from a regular set of points and then redistributes them according to a previously defined spacing map. Two iterative redistribution algorithms based on physical models are presented, and several criteria for spacing maps are also investigated. Two upscaling algorithms for unstructured grids are proposed, based on the Cardwell & Parsons and renormalization techniques for structured meshes.
Finally, representative examples are presented to demonstrate the capabilities and effectiveness of the proposed strategies.