Using online simulation to create a real-time digital twin for pipeline and network operations

John Anderton, Assistant Manager at Indian Oil Corporation Limited, brings over 25 years of expertise in pipeline simulation, spanning project delivery, software development, and business analysis. With experience that includes working for a major gas transportation company in Australia, John specializes in both offline and online simulation for the Oil & Gas sector and has collaborated with leading global operators. He is all set to share his insights on leveraging online simulation to build real-time digital twins for pipeline and network operations. His session will explore how real-time modeling enhances operational visibility, improves decision-making, and drives efficiency across pipeline systems.

He will share his insights on how simulation models, combined with advanced state estimation techniques, can elevate digital twins to become indispensable tools for real-time decision-making in pipeline operations. These models replicate physical systems with high accuracy, enabling operators to monitor and predict pipeline behavior under various scenarios. In today’s volatile energy landscape, controllers must manage linepack effectively, track fluctuating gas quality, ensure the security of supply, and respond swiftly to unexpected conditions. A digital twin equipped with real-time data empowers operational teams to make fast, confident decisions. It helps optimize flow, reduce risk, and enhance safety and reliability. Additionally, such systems support intra-day contingency planning and improve overall asset performance. By leveraging predictive analytics, the digital twin allows for better maintenance scheduling, early fault detection, and reduced downtime. It also supports regulatory compliance and provides transparency across the network.