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Speaker
Description
In our previous work, we investigated the fingering behavior in acid stimulation formations and found that the dissolution patterns in acid stimulation region have an influence on the injection performance. A detailed characterization of the highly heterogeneous wormholes could introduce a large number of gridblocks and subsequently increase the computational burden drastically. In this work, an adaptive mesh refinement strategy is proposed for a computationally efficient simulation of multiphase porous media flow in acid stimulation formations. As a preprocessing step, we construct multiple tiers of grids containing the heterogeneous features in the vicinity of the wellbore and ascertain their topology. The saturation is taken as a criteria during simulation to switch the grids locally. When the saturation of the injected phase is lower than a threshold value, a fine grid is used to capture the fingering behavior. When the value is surpassed, a coarse grid is used instead. With respect to the switch, the upscaling is achieved using a volume weighted approach, while the downscaling is achieved using a basis function interpolation method. A number of scenarios are used to evaluate the technique, and the results demonstrate its feasibility, strong computational performance, and accuracy.
| Country | China |
|---|---|
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