<p>This study proposes an innovative methodology that integrates quality maps (QMs) and hydraulic flow units (HFUs) to optimize well positioning in oil reservoirs. The application of the synthetic model UNISIM-I-D—based on the Namorado Field (Campos Basin)—demonstrated significant technical and economic gains, with emphasis on the significant reduction in water production and the consequent increase in the net present value (NPV). The strategy allowed isolating zones of high water saturation, prioritizing areas with greater oil saturation, which resulted in reduced operating costs associated with the treatment and disposal of produced water. As a result, the best identified well (P3) presented an NPV of over US$ 2.5 billion, approximately 32% higher than the best well in conventional scenarios. The integration between HFUs and QMs proved to be crucial to accurately identify the regions of greatest productivity, while minimizing computational complexity and increasing decision-making efficiency. The findings reinforce the potential of the hybrid methodology in scenarios with high geological heterogeneity, contributing to maximize hydrocarbon recovery and optimize field development strategies. Finally, an extension of this study proposes a more in-depth analysis of drilling costs. When examining the three wells drilled in scenario 2, excellent production is observed; however, the presence of offshore wells significantly increases costs, which suggests that drilling only one well, as proposed in scenario 1, could be more economically advantageous.</p>