We propose, analyze, and test a novel continuous data assimilation two-phase flow algorithm for reservoir simulation. We show that the solutions of the algorithm, constructed using coarse mesh observations, converge at an exponential rate in time to the corresponding exact reference solution of the two-phase model. More precisely, we obtain a stability estimate which illustrates an exponential decay of the residual error between the reference and approximate solution, until the error hits a threshold depending on the order of data resolution. Numerical computations are included to demonstrate the effectiveness of this approach, as well as variants with data on sub-domains. In particular, we demonstrate numerically that synchronization is achieved for data collected from a small fraction of the domain.
翻译:我们提出、分析并测试一个新的连续数据同化双相流算法,用于模拟储油层。我们显示,使用粗糙网状观测构建的算法的解决方案以指数速率在时间上与两个相近的模型的相应精确参考解决方案趋同。更确切地说,我们获得了一个稳定性估计,其中显示了参考和近似解决方案之间的剩余误差的指数衰减,直到误差达到数据解析的顺序所决定的阈值。包含数值计算,以证明这一方法的有效性,以及子域数据的变量。特别是,我们从数字上表明,从这个域的一小部分收集的数据实现了同步。