
Carbonate and unconventional reservoirs are usually highly fractured. The fractures exist at all length scales ranging from microscopic fissures to kilometer-size structures. Consequently, it is vitally important to rigorously characterize the multi-scale fracture system and to accurately model the fluid flow in such highly fractured porous media.
In this project, we employed the discrete fracture model (DFM) for large-scale fractures, the dual porosity/dual permeability (DP) model for fractures that form strongly connected networks, and the effective matrix medium (EMM) model for small fractures with weak connectivities. By integrating DFM, DP, and EMM systematically using a hybrid, unstructured grid system, this model provides a novel approach that balances accuracy and efficiency.
The project work were conducted in Simba, our unique and industry-pioneering software for modeling, simulation and history matching. Compared to previous studies performed on the same reservoir, simulation time cost was reduced from 45 hours to 1.2 hours, and history match rate was improved from 66% to 93%.
Traditional dual-porosity/dual-permeability model suffers from its low accuracy in predicting flow dynamics due to poor fracture representations. In contrast, discrete fracture modeling approach that fully resolves the fracture explicitly, is usually too computationally demanding for field applications. To accurately characterize multi-scale fractures without dramatically increasing the number of simulation grids and time costs is a huge challenge.
We present a systematic, hierarchical approach for multi-scale modeling. Large-scale fractures interpreted from post-stack seismic are modeled deterministically in a fully discrete fashion using unstructured grids; small-to-mid-scale fractures mapped from pre-stack seismic are modeled using a dual-porosity/dual-permeability approach; small-to-micro scale fractures mapped from image logs and cores are modeled stochastically as porosity and permeability enhancement to matrix.

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