GIS & Mapping

Geographic Information Systems (GIS) combine spatial data with analytical tools to map, analyze, and manage energy infrastructure. In the energy sector, GIS maps pipelines, power lines, well locations, and renewable energy resources. It supports site selection, route planning, asset management, and regulatory compliance. Integration with remote sensing and real-time data enables monitoring of environmental conditions and operational performance.

Satellite imagery provides crucial intelligence for energy operations, including monitoring offshore platforms, detecting pipeline leaks, assessing solar and wind resources, and tracking construction progress. Thermal imaging identifies heat loss from buildings and equipment. Change detection algorithms spot unauthorized activities or environmental impacts. Satellites enable remote monitoring of assets in inaccessible locations, reducing the need for costly site visits.

Remote sensing uses sensors on satellites, aircraft, or drones to collect data about the Earth's surface and atmosphere without physical contact. In energy, it measures solar irradiance, wind patterns, vegetation for biomass, and geological features for resource exploration. LiDAR creates detailed terrain models for wind farm siting. Multispectral imaging detects oil spills, vegetation stress from pipelines, and thermal anomalies indicating equipment issues.

Drones are increasingly used for inspecting energy infrastructure, including power lines, wind turbines, solar panels, pipelines, and offshore platforms. They capture high-resolution imagery and thermal data, identifying defects without putting workers at risk or requiring shutdowns. Drones can survey large areas quickly for environmental monitoring, construction progress, and security. LiDAR-equipped drones create detailed 3D models for planning and asset management.

Asset integrity management (AIM) ensures energy infrastructure operates safely and reliably throughout its lifecycle. It combines inspection data, maintenance records, and predictive analytics to assess equipment condition and risk. GIS integrates spatial information with asset databases, enabling visualization and analysis of geographically distributed infrastructure. AIM helps prioritize maintenance investments, extend asset life, prevent failures, and comply with regulatory requirements.