Statistical Analysis of Polymer Injection Parameters and their Impact on Fluid and Oil Production Efficiency

Abstract

This study explores the relationship between polymer injection parameters—injection pressure, injected volume, polymer concentration, and polymer viscosity—and their impact on fluid and oil production efficiency in reservoir wells. The data are collected from Patoz-Marinza field October 2014 until December 2021. Using statistical methods, we analyse a dataset containing operational data from multiple wells. Descriptive statistics and regression analysis reveal key drivers of production efficiency, providing insights for optimising polymer injection processes. Using descriptive statistics, correlation analysis, and regression models, we examined the influence of injection parameters on daily production outcomes. Results show that injected volume exhibits the strongest positive correlation with both oil (r = 0.68) and fluid production (r = 0.77), highlighting its dominant role in enhancing sweep efficiency. Conversely, injection pressure demonstrates negative correlations with oil (r = –0.58) and fluid production (r = –0.55), suggesting that excessive pressures may cause polymer degradation and reduce injectivity. Polymer concentration and viscosity also contribute positively but moderately to production efficiency. These findings underscore the importance of parameter optimization in chemical enhanced oil recovery (CEOR) and provide practical insights for improving the economic and technical performance of polymer flooding operations.

Received: 05 July 2025 / Accepted: 30 August 2025 / Published: 25 September 2025