Waterflooding is considered as one of the most common methods for improving the ultimate recovery of oil reservoirs. The efficiency of a waterflooding operation strongly depends on the determination and quantification of the relative connections between the injection and production wells. Injection and production rates are the most accessible data and they can provide useful information about the interwell connections. Recently, several data-driven approaches, such as the capacitance resistance model (CRM), have been presented based on available reservoir data. The CRM is a valuable analytical model for estimating the production rates and interwell connections through optimization of the production data. In this study, a CRM is used in order to estimate the production rate and evaluate the underground flow paths for both synthetic and real cases. A new concept called Value of Injection (VoI) is developed for the injectors to analyze their performance in the early time of the waterflooding prior to the significant water breakthrough. The calculated VoI is directly used for economical evaluation of the injectors. The results of this study show that a strong underground connection between an injector–producer pair does not always result in higher efficiency of the injector.

中文翻译：

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用于分析注水作业中注入器效率的数据驱动技术

注水被认为是提高油藏最终采收率的最常用方法之一。注水作业的效率在很大程度上取决于注入井和生产井之间相关连接的确定和量化。注入和生产率是最容易获得的数据，它们可以提供有关井间连接的有用信息。最近，已经根据可用的储层数据提出了几种数据驱动的方法，例如电容电阻模型 (CRM)。CRM 是一种有价值的分析模型，用于通过优化生产数据来估计生产率和井间连接。在这项研究中，使用 CRM 来估计生产率并评估合成和实际情况下的地下流动路径。为注入器开发了一种称为注入值 (VOI) 的新概念，用于在显着水突破之前的注水早期分析其性能。计算出的 VoI 直接用于喷射器的经济评估。这项研究的结果表明，注入井-生产井对之间的强大地下连接并不总是能提高注入井的效率。