Synergistic Optimization of Polymer-Surfactant Binary Flooding for EOR: Core-Scale Experimental Analysis of Formulation, Slug Design, and Salinity Effect

聚合物-表面活性剂二元驱油协同优化提高采收率:配方、驱油段塞设计和盐度效应的岩心尺度实验分析

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Abstract

As conventional waterflooding enters mid-to-late stages, chemical enhanced oil recovery (EOR) technologies such as polymer-surfactant binary flooding have emerged to address declining recovery rates. This study systematically investigates the synergistic effects of polymer-surfactant binary formulations through core-flooding experiments under varying concentrations, injection volumes, and salinity conditions. The optimal formulation, identified as 0.5% surfactant and 0.15% polymer, achieves a maximum incremental oil recovery of 42.19% with an interfacial tension (IFT) reduction to 0.007 mN/m. A 0.5 pore volume (PV) injection volume balances sweep efficiency and economic viability, while sequential slug design with surfactant concentration gradients demonstrates superior displacement efficacy compared with fixed-concentration injection. Salinity sensitivity analysis reveals that high total dissolved solids (TDS) significantly degrade viscosity, whereas low TDS leads to higher viscosity but only marginally enhances the recovery. These findings provide experimental evidence for optimizing polymer-surfactant flooding strategies in field applications, offering insights into balancing viscosity control, interfacial tension reduction, and operational feasibility.

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