Evaluating reservoir performance could be challenging, especially when available data are only limited to pressures and rates from oil field production and/or injection wells. Numerical simulation is a typical approach to estimate reservoir properties using the history match process by reconciling field observations and model predictions. Performing numerical simulations can be computationally expensive by considering a large number of grids required to capture the spatial variation in geological properties, detailed structural complexity of the reservoir, and numerical time steps to cover different periods of oil recovery. In this work, a simplified physics-based model is used to estimate specific reservoir parameters during CO₂ storage into a depleted oil reservoir. The governing equation is based on the integrated capacitance resistance model algorithm. A multivariate linear regression method is used for estimating reservoir parameters (injectivity index and compressibility). Synthetic scenarios were generated using a multiphase flow numerical simulator. Then, the results of the simplified physics-based model in terms of the estimated fluid compressibility were compared against the simulation results. CO₂ injection data including bottom hole pressure and injection rate were also gathered from a depleted oil reef in Michigan Basin. A field application of the simplified physics-based model was presented to estimate above-mentioned parameters for the case of CO₂ storage in a depleted oil reservoir in Michigan Basin. The results of this work show that this simple lumped parameter model can be used for a quick estimation of the specific reservoir parameters and its changes over the CO₂ injection period.

评估储层性能可能具有挑战性，特别是当可用数据仅限于油田生产和/或注入井的压力和速率时。数值模拟是通过调和现场观测值和模型预测值使用历史匹配过程估算储层性质的一种典型方法。考虑到捕获地质特征的空间变化所需的大量网格，储层的详细结构复杂性以及涵盖不同采油期的数字时间步长，进行数值模拟可能会在计算上花费很大。在这项工作中，使用简化的基于物理的模型来估算CO ₂期间的特定储层参数。储存到耗尽的油库中。该控制方程基于集成电容电阻模型算法。多元线性回归方法用于估算储层参数（注入指数和可压缩性）。使用多相流数值模拟器生成了合成方案。然后，将简化的基于物理模型的结果在估计的流体可压缩性方面与仿真结果进行比较。还从密歇根盆地的一块贫油礁石收集了包括井底压力和注入速率在内的CO ₂注入数据。提出了基于简化的物理模型的现场应用，以估算上述CO ₂情况下的参数储存在密歇根盆地贫油油库中。这项工作的结果表明，该简单的集总参数模型可用于快速估算特定储层参数及其在CO ₂注入期间的变化。