Numerical Simulation of Matrix Acidizing in Fractured Carbonate Reservoirs Using Adaptive Enriched Galerkin Method

Rencheng Dong, Sanghyu Lee, M. Wheeler
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引用次数: 10

Abstract

Acidizing in un-fractured carbonate reservoirs has been well studied through modeling and simulation. Since carbonate reservoirs are often naturally fractured, fractures should be modeled for realistic acidizing operations. We present adaptive enriched Galerkin (EG) methods to simulate acidizing in fractured carbonate reservoirs. We adopt a two-scale continuum model for the acid transport. The coupled flow and reactive transport systems are spatially discretized by EG methods. Fractures are introduced using local grid refinement (LGR) technique. Adaptive mesh refinement (AMR) is implemented around wormhole interfaces. Simulation results show that acidizing in fractured carbonate reservoirs is largely dependent on the fracture system while acidizing in unfractured carbonate reservoirs is mainly determined by operation parameters such as acid injection rate. Computationally, the proposed EG scheme has less numerical dispersion and grid orientation effects than standard cell center finite difference/volume methods. AMR is very efficient to track the wormhole growth and speed up acidizing simulations.
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基于自适应富集伽辽金法的裂缝性碳酸盐岩储层基质酸化数值模拟
通过建模和模拟,对未裂缝碳酸盐岩储层的酸化进行了较好的研究。由于碳酸盐岩储层通常具有天然裂缝,因此应针对实际酸化作业对裂缝进行建模。提出了自适应富集Galerkin (EG)方法来模拟裂缝性碳酸盐岩储层的酸化。我们采用双尺度连续介质模型来描述酸的输运。用EG方法对耦合流动和反应输运系统进行空间离散。采用局部网格细化(LGR)技术引入裂缝。在虫孔接口周围实现了自适应网格细化(AMR)。模拟结果表明,裂缝性碳酸盐岩储层的酸化在很大程度上取决于裂缝系统,而非裂缝性碳酸盐岩储层的酸化主要取决于注酸速率等操作参数。计算结果表明,与标准单元中心有限差分/体积方法相比,该方法具有较小的数值色散和网格定向效应。AMR在跟踪虫洞生长和加速酸化模拟方面非常有效。
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