Oil and gas terminals today are complex, highly automated facilities where Terminal Automation Systems (TAS) oversee the safe and compliant execution of product receipt, storage, blending, dispatch, and safety processes. These systems provide the backbone of operational control and integrity, ensuring transactions are accurate, workflows are enforced, and compliance obligations are met.
Despite these advances, operators face mounting pressures. Throughput volumes continue to rise, regulatory expectations are increasing, and margins remain under sustained pressure. TAS has been highly effective in delivering automation and control, but it was not designed to provide predictive insight, optimization across multiple variables, or continuous learning. Artificial Intelligence (AI) offers a new layer of intelligence that can complement and extend TAS, providing predictive capabilities, dynamic optimization, and real-time decision support. Together, TAS and AI create an operating model that is both safe and intelligent, delivering efficiency gains, cost reduction, and resilience.
Read more in our latest point of view here: Enhancing Terminal Automation Systems with AI
