By Agendra Kumar, Managing Director, Esri India
India has committed to a robust climate action plan aimed at reducing the emissions intensity of its GDP by 33–35 per cent from 2005 levels by 2030, as part of its Nationally Determined Contributions (NDCs) under the Paris Agreement. This strategy emphasises cleaner energy transitions, increased use of renewable sources, enhanced energy efficiency and sustainable urban development. A key component of this roadmap is the shift towards a gas-based economy, with natural gas being positioned as a cleaner alternative for cooking, transportation and industrial applications. Geographic information system (GIS) is a key enabler in this context, being central to all aspects of the gas distribution business, including planning, compliance, operations, monitoring, management and customer service.
Building a strong foundation with GIS
Gas utilities across the country are embracing GIS as a foundational technology for their gas distribution business. GIS has emerged as a single, unifying platform that enables a comprehensive, intelligent and real-time view of the utility ecosystem. From improving operational efficiency and reducing losses to enhancing asset visibility and ensuring proactive service delivery, the geographic approach is driving a silent revolution in city gas distribution, reshaping how utilities operate, engage and evolve.
One of the most critical strengths of GIS is its ability to provide a panoramic, yet deeply detailed view of infrastructure, from the point of origin to the last mile of delivery. Utility operators can now see, in near real time, how their networks function, identify areas of risk or inefficiency, and respond swiftly to dynamic events. The integration of GIS with legacy enterprise systems, internet of things (IoT) devices, supervisory control and data acquisition (SCADA) platforms, and enterprise resource planning suites has created unified, intelligent ecosystems that break down data silos and enable decision-makers to act with unprecedented agility.
This capability is not just theoretical. Leading gas utilities in the country, such as Indian Oil Company Limited (IOCL), Indraprastha Gas Limited (IGL), Mahanagar Gas Limited, Gujarat Gas Limited and Bharat Petroleum Corporation Limited (BPCL), have successfully implemented GIS to streamline operations, monitor assets and serve millions of citizens with greater reliability. Geospatial intelligence is allowing them to optimise their city gas distribution business.
Using intelligent tools like Esri’s ArcGIS Utility Network, utilities are modelling, managing and analysing complex utility systems with high precision and scalability. With capabilities such as rule-based topology, subnetwork management and integration with IoT sensors, utilities are empowered to improve system reliability, streamline operations and enhance decision-making. Whether it is outage management, asset tracking, or predictive maintenance, tools like ArcGIS Utility Network are helping utilities to gain the spatial intelligence they need to function adeptly in a rapidly evolving infrastructure landscape.
The road ahead
While the adoption of GIS in utilities is appreciable, it is worth acknowledging that the gas distribution sector is only beginning to unlock the full potential of this technology. To achieve effective insights leading to more informed decisions, we need to integrate GIS with new technologies such as artificial intelligence (AI), machine learning (ML) and digital twin modelling.
Digital twins, for instance, by providing a representation of both natural and built environments, can enable stakeholders to not only observe and monitor current performance but also explore and predict future performance. The benefits of digital twins increase substantially with the inclusion of GIS data. When integrated with GIS, digital twins improve visualisation and analytical capabilities, helping utilities gain insights into various scenarios and their impacts. Easier access to data leads to faster decision-making and improved workflow efficiency.
Moreover, combining the spatial analysis capabilities of GIS with the predictive power of AI allows gas companies to detect pipeline leaks, predict maintenance needs, and optimise route planning with far greater accuracy. Using geospatial AI, utilities can analyse satellite imagery, sensor data, and historical records to identify patterns and anomalies. This helps prevent failures before they occur. It can also enhance safety and efficiency by enabling real-time decision-making, improving emergency response, and supporting the transition to more intelligent, more sustainable energy networks.
Conclusion
As the utility sector grapples with rapid digitalisation, climate pressures and shifting consumer expectations, GIS provides the foundation for building smarter, more adaptive and resilient systems.
In city gas distribution, GIS serves as a critical enabler for safe, efficient and customer-centric operations. Since gas distribution networks are geographically dispersed and mostly underground, GIS provides utilities with a precise, digital map of their entire infrastructure, including pipelines, valves, meters, pressure regulators and customer connection points. This spatial visibility enables utilities to plan network expansions intelligently, avoid utility conflicts during excavation and effectively manage assets throughout their lifecycle.
GIS supports real-time monitoring and incident response by identifying exact locations of leaks, outages, or maintenance needs, thereby enhancing public safety and reducing downtime. It also improves operational planning by enabling demand forecasting, pipeline sizing and route optimisation based on geospatial data. When integrated with mobile applications, GIS empowers field crews with accurate, location-specific information for inspections and repairs. Additionally, by combining GIS with SCADA, IoT and asset management systems, gas utilities can create a unified, data-driven platform for managing network performance, ensuring regulatory compliance and delivering reliable service to consumers.
By combining GIS with AI and other new-age technologies, organisations can align their infrastructure and information systems to unlock deeper insights, drive innovation and create a more sustainable digital future.