We present a new screening model for predicting injection well pressure buildup and CO₂ plume migration for CO₂ geologic sequestration projects. The model requires only limited information and is quite accurate when compared to detailed simulation results. Such models can assist project developers during the early days of project planning (e.g., for 45Q related projects), and also help regulators perform simple checks against detailed numerical models. The screening model consists of two correlations: one for injectivity index in terms of the slope of the CO₂ fractional flow curve, and the second for total storage efficiency within the footprint of plume as a function of gravity number and slope of the CO₂ fractional flow curve. Using these two correlations, as well as a knowledge of some basic reservoir characteristics and estimates of fluid properties from standard correlations, the injection-well pressure buildup and CO₂ plume extent in the formation can be readily estimated. The new correlations show a good match with the results of the underlying simulations, and also provide good agreement with independent calculations for two example problems.

我们提出了一种新的筛选模型，用于预测CO ₂地质封存项目的注入井压力累积和CO ₂羽流迁移。该模型只需要有限的信息，并且与详细的模拟结果相比非常准确。这样的模型可以在项目计划的早期（例如，与45Q相关的项目）为项目开发人员提供帮助，也可以帮助监管机构对详细的数字模型进行简单的检查。筛选模型由两个相关性组成：一个用于以CO ₂分流曲线的斜率表示的注入指数，第二个用于羽流足迹内的总存储效率作为重力数和CO ₂的函数。分流曲线。使用这两个相关性，以及对一些基本储层特征的了解以及根据标准相关性对流体性质的估算，可以轻松估算地层中的注入井压力累积和CO ₂羽流程度。新的相关性显示出与基础模拟结果的良好匹配，并且为两个示例问题提供了与独立计算的良好一致性。