Decarbonization Using Operation Data Intelligence and Digital Twin Technology

Abstract To achieve net-zero targets by 2070, ONGC has developed a roadmap to achieve net-zero emissions for its Scope 1 and Scope 2 by 2038. Currently, Scope 1 emissions account for 26.5% of total emissions and the primary contributors include captive power generation, fuel combustion, gas flaring, and fugitive emissions. One of the first step towards reducing Scope 1 emissions is to adopt de-carbonization methods through operational data intelligence and digital transformative solutions, particularly digital twin technology. A standardized data historian platform is implemented as part of the digital twin technology, to collect, manage, and analyze historical and real-time process, reservoir and asset data. This available real-time data supports various data analytics modules, including Production and Asset Management Solutions which simulates the various operational scenarios based on the real-time data and help in optimizing the production operations thereby reducing the fuel consumption and emissions. As part of Asset management, the health and condition of the critical assets (process, mechanical & instruments) are monitored using reliable sensors, control systems, and historical maintenance records. All these parameters are integrated into a comprehensive asset management system (AMS) which tracks the performance of the assets by monitoring the key performance indicators (KPIs) and identifying deviations from normal operating conditions. The predictive analytics within the Asset Management solution helps prevent unplanned downtime by analyzing both historical and real-time equipment performance data. This includes anomaly detection, fault diagnostics, time-to-failure forecasting, and prescriptive recommendations. By leveraging predictive analytics, maintenance engineers can detect inefficiencies, address potential equipment failures before they escalate, optimize resource utilization, and minimize fugitive emissions. Furthermore, it optimizes production and maintenance processes, enhancing operational efficiency and reinforcing ONGC's commitment to sustainability. The continuous data analysis helps tracks progress against emissions reduction targets, ensuring accountability and transparency. Further, these tools provide valuable insights and advisories, facilitating effective and collaborative decision-making across operations. This solution is being implemented by ONGC in its first digital twin Integrated Operations project in the Eastern Offshore fields with a view to optimize production, enhance reservoir recovery and maximize reliability of the existing assets. The capabilities of this operational data intelligence enable ONGC to take informed decisions and implement targeted strategies for emission reduction. From a sustainability perspective, this digital twin technology can help ONGC to eliminate fugitive emissions, decarbonize supply chains, and reduce the carbon generated as a result of operations, thereby accelerating it to achieve the net zero targets.