Oil tank detection plays a crucial role in the oil and gas industry, transforming how critical infrastructure is monitored and managed. With deep learning, oil storage tanks can be rapidly and accurately identified from high-resolution satellite imagery. This capability supports proactive maintenance, leak detection, and emergency response efforts.

Automated detection enhances operational efficiency, improves safety, and promotes environmental responsibility. It also helps reduce the risk of incidents, supports regulatory compliance, and contributes to the sustainable management of energy resources. This deep learning model enables automated identification of oil storage tanks in high-resolution satellite imagery, significantly streamlining the detection process.