Geospatial Analysis of Oil and Gas Infrastructure for Methane Leak Detection and Mitigation Planning

Abstract

Methane emissions from oil and gas infrastructure contribute significantly to global greenhouse gas levels, posing both environmental and regulatory challenges. Timely detection and mitigation of leaks are essential for reducing emissions and enhancing operational safety. This study explores the application of geospatial analysis for the identification and management of methane leaks across oil and gas facilities. By integrating satellite remote sensing, drone-based surveys, and ground sensor networks with Geographic Information Systems (GIS), spatial patterns of infrastructure and emissions were analyzed to identify high-risk areas. Hotspot mapping and risk assessment techniques enabled the prioritization of leak mitigation interventions. The results demonstrate that combining multi-source geospatial data with predictive risk models can significantly enhance leak detection efficiency and support proactive infrastructure management. This approach provides a data-driven framework for environmental monitoring and mitigation planning in the oil and gas sector.