<p>Copper, a common impurity in petroleum, poses a significant risk of corrosion to iron and aluminum transport pipelines, adversely affecting agricultural machinery and critical infrastructure used in resource transportation. This study presents a novel nano-sensor network platform specifically designed to detect and facilitate the mitigation of copper contamination in petroleum systems. The proposed network integrates specialized nano-sensors that identify copper ions in real time and signal embedded catalytic or reactive subsystems responsible for transforming copper impurities into less harmful or potentially useful forms—such as gases, metal compounds, hydrocarbons, or organics—depending on operational scenarios. While the sensors do not perform chemical conversion themselves, they serve as intelligent triggers within a coordinated mitigation system. This approach combines precision detection with adaptive response mechanisms, offering a technological advancement over conventional filtration or chemical treatment methods. By minimizing copper’s corrosive effects, the research aligns with broader nanotechnology goals in agriculture and energy, promoting sustainability through improved resource efficiency, environmental protection, and extended infrastructure lifespan. Platform performance is evaluated through simulation scenarios demonstrating its scalability, responsiveness, and potential for integration within existing petroleum infrastructure. These findings highlight the potential of the system to support sustainable energy transitions, reinforce transport resilience, and enhance the safety and durability of petroleum distribution networks.</p>