Mitigating anthropogenic methane emissions is pivotal for achieving the goal of limiting increase in the global average temperature to below 1.5 • C above pre-industrial levels set by the 2015 Paris Climate Agreement. Oil and gas emerges as a key sector for reducing emissions, contributing 22% of the global anthropogenic methane emissions and 32% in the United States. In June 2024, the U.S. Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE) announced $850 million in federal funding aimed at reducing methane emissions from the oil and gas sector. Methane emissions from this sector are characterized by significant temporal fluctuations, 7,8 with sporadic, short-lived events of high emissions-known as super emitter events-accounting for a substantial portion of the total emissions. 9, In this context, Continuous Monitoring Systems (CMS), comprising multiple point-in-space sensors that continuously measure methane concentrations, are becoming increasingly vital for emission monitoring. They offer near real-time tracking capabilities essential for identifying both highly fluctuating emissions and transient super emitters. CMS plays a crucial role in detecting, localizing, and quantifying site emissions. CMS sensor placement, the strategy of positioning multiple fixed point sensors on an oil and gas site, significantly affects the efficiency of methane emissions detection, especially when considering a limited sensor budget. Sensor placement optimization has been extensively studied in environmental monitoring applications such as air pollutant monitoring, water contamination monitoring, temperature monitoring, and wind monitoring. The goal is to optimize the locations of a limited number of sensors to maximize objectives such as coverage, detection capability, and data quality for subsequent analyses. Until recently, sensor placement optimization for methane emission monitoring on oil and gas sites had not been extensively studied due to CMS being a relatively new technology. Other methane emission monitoring technologies, such as satellite, aerial monitoring systems, and handheld optical gas imaging (OGI) cameras, do not require sensor placement. These systems can either cover entire sites (e.g., satellite and aerial systems) or be moved to various locations on-site (e.g., OGI). In contrast, as a ground-based monitoring system, CMS involves sensors that cannot be easily moved, and a limited number of sensors cannot cover an entire site. Therefore, effective sensor placement optimization methods are essential for maximizing the efficiency of methane emissions detection.