Reservoir Heterogeneity Modeling and Cost Optimization for Waterflood Performance in Layer X

Abstract

This study analyzes the performance of a reservoir simulation model and evaluates the effectiveness of waterflooding scenarios until 2035 to enhance oil recovery. Model validation results indicate prediction errors of 7.63% for Liquid, 2.85% for Oil, and 15.74% for Water. Despite a significant discrepancy in Water predictions, the model is considered sufficiently accurate for forecasting reservoir performance, with some improvements needed. The waterflooding scenario analysis shows that injection wells RY-1, RY-2, RY-3, and RY-4 yield the best results, with a Net Present Value (NPV) of 100,909,090.91, an Internal Rate of Return (IRR) of 34.15%, and a recovery factor of 20.63%. This scenario is selected as the most optimal due to its balanced economic benefits and enhanced oil recovery performance.