Abstract Estimating reservoir properties, such as the skin factor, is an essential role of injectivity tests. Nevertheless, determining individual layer properties in multilayer systems remains a difficult task. Some techniques have been proposed to compute layer permeabilities and skin factors based on the pressure response of reservoirs under single-phase flow. Regardless, determining layer skin zone permeability and radius remains challenging. Ensemble-based techniques are optimization methods known for its easy implementation and good data match when estimating model parameters. Notably, the ensemble smoother with multiple data assimilation (ES-MDA) has proven to be a powerful parameter estimation tool. Thereby, this work attempts to apply the ES-MDA to determine individual layer skin zone properties. To the best of the authors’ knowledge, this is the first time that ES-MDA is applied to this problem. In all tested cases, the resulting histogram contains the reference parameters. We also presented a sensitivity study regarding the performance of ES-MDA when different number of assimilations and ensemble sizes are used.

中文翻译：

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ES-MDA 应用于从多层储层的注入测试数据中估计表皮区特性

摘要 估计储层特性，如表皮因子，是注入测试的重要作用。然而，确定多层系统中的单个层属性仍然是一项艰巨的任务。已经提出了一些基于单相流下储层压力响应来计算层渗透率和表皮因子的技术。无论如何，确定层表皮区渗透率和半径仍然具有挑战性。基于集成的技术是一种优化方法，以其在估计模型参数时易于实现和良好的数据匹配而闻名。值得注意的是，具有多重数据同化（ES-MDA）的集成平滑器已被证明是一种强大的参数估计工具。因此，这项工作尝试应用 ES-MDA 来确定各个层的皮肤区域属性。据作者所知，这是 ES-MDA 首次应用于此问题。在所有测试案例中，生成的直方图都包含参考参数。当使用不同数量的同化和集合大小时，我们还提出了关于 ES-MDA 性能的敏感性研究。