13–16 May 2024
Asia/Shanghai timezone

A new multi-level discrete fracture model for multiphase flow in complex multi-scale fractured systems

16 May 2024, 10:05
15m
Oral Presentation (MS03) Flow, transport and mechanics in fractured porous media MS03

Speaker

Longlong Li (Institute of Mechanics, Chinese Academy of Sciences)

Description

In this study, we present a new version of the multi-level discrete fracture model (MLDFM) for multiphase flow in complex fractured systems with features present at various scales. In MLDFM, two levels of unstructured grids conforming with each other are constructed. In a fine-scale grid, both large and small features are represented in conformal DFM manner, and in a coarse grid, only large fractures are conformable depicted. The small-scale features in a coarse grid are dynamicly upscaled as a third continuum similar to the Dual Porosity Dual Permeability model. The DFM treatment for all fractures guarantees accurate solutions for simulations adopting fine-scale grid but unavoidably increases the computational burden. In this work, we developed a computational framework, where the conformal DFM is used to capture the small-scale flow response and homogenize it to the coarse-scale unstructured model applied for forward simulation. An adaptive local-global upscaling formalism is employed to couple the two scale solutions. In detail, we generate local boundary conditions in the fine-scale domain following the basis function interpolation approach and subsequently resolve the flow response. Then, we update the transmissibility for the triple continuum model through the dynamic flow-based upscaling method. Finally, we test the MLDFM approach for several realizations of complex multi-scale fracture systems against fine-scale solution, The simulation results demonstrate the exceptional accuracy and performance of the proposed method.

Country China
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Primary author

Longlong Li (Institute of Mechanics, Chinese Academy of Sciences)

Co-authors

Luting Wang (Institute of Mechanics, Chinese Academy of Sciences, Beijing, China) Denis Voskov (TU Delft)

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