Design of an Intelligent Decision System for Polymer Flooding Injection Plans Combining Fuzzy Logic and Genetic Algorithm

When oilfield development enters the late stage of ultra-high water cut, traditional layered water injection methods often cannot effectively improve oil recovery due to the heterogeneity of the reservoir. Polymer flooding, as an advanced oilfield development technology, can significantly improve oilfield recovery by changing the oil-water mobility ratio and reducing the interfacial tension between oil and water. However, in the implementation of polymer flooding, how to precisely control the injection amount of each layer, so that the polymer can be evenly distributed and maximize its effectiveness, has become an urgent problem to be solved. This article proposes an intelligent decision-making system for polymer flooding injection plans that combines fuzzy logic and genetic algorithm (GA) to address this issue. The system aims to provide precise control solutions for layered polymer flooding in oil fields through automated and intelligent decision-making processes, thereby improving oilfield recovery rates. The experimental results indicate that the system can provide precise control schemes for layered injection polymer flooding in oil fields, effectively improving oil recovery efficiency. At the same time, the automation and intelligence characteristics of the system also reduce the complexity and uncertainty of manual decision-making, and improve decision-making efficiency and accuracy.