Injectivity index is a powerful tool that can be easily calculated from field injection and pressure data. Theoretically, injectivity index is linked to reservoir properties such as permeability, thickness of pay, and size of the reservoir. Consequently, injectivity index data can serve as a powerful tool to assess changes in reservoir quality and performance. In this article, we have looked at field data from notable global carbon sequestration projects in order to identify a correlation between injectivity index (J) and the product of reservoir permeability and thickness (kh). Results suggested that there is a linear relationship between J and kh with field data confirming to lower and upper bounds of J = 0.03×kh and J = 0.23×kh respectively. Average trend was calculated to be J = 0.08×kh. This correlative approach can be extremely beneficial when there is a need to estimate pressure buildup corresponding to a target injection or vice versa. The approach can also be used to understand reservoir flowability and performance at a broader scale prior to the need for expensive or time consuming flow and pressure transient testing. © 2020 Society of Chemical Industry and John Wiley & Sons, Ltd.

中文翻译：

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注入指数：表征CO2储集层的有力工具-技术说明

注入指数是一个功能强大的工具，可以轻松地从现场注入和压力数据中计算得出。从理论上讲，注入指数与诸如渗透率，储层厚度和储层大小等储层性质有关。因此，注入指数数据可以作为评估储层质量和性能变化的有力工具。在本文中，我们研究了来自全球著名固碳项目的现场数据，以确定注入指数（J）与储层渗透率与厚度乘积（kh）之间的相关性。结果表明，J和kh之间存在线性关系，现场数据证实了J的上下边界＝ 0.03× kh和J＝ 0.23× kh。平均趋势经计算为J = 0.08× kh。当需要估计与目标喷射相对应的压力累积时，这种相关方法可能会非常有益。在需要昂贵或费时的流量和压力瞬变测试之前，该方法还可用于更广泛地了解储层的流动性和性能。©2020年化学工业协会和John Wiley＆Sons，Ltd.