  Methane (CH4) emissions estimates from top-down studies over oil and gas
basins have revealed systematic under-estimation of CH4 emissions in current
national inventories. Sparse but extremely large amounts of CH4 from oil and
gas production activities have been detected across the globe, resulting in a
significant increase of the overall O&G contribution. However, attribution to
specific facilities remains a major challenge unless high-resolution images
provide the sufficient granularity within O&G basin. In this paper, we monitor
known oil-and-gas infrastructures across the globe using recurrent Sentinel-2
imagery to detect and quantify more than 800 CH4 emissions. In combination with
emissions estimates from airborne and Sentinel-5P measurements, we demonstrate
the robustness of the fit to a power law from 0.1 tCH4/hr to 600 tCH4/hr. We
conclude here that the prevalence of ultra-emitters (> 25tCH4/hr) detected
globally by Sentinel-5P directly relates to emission occurrences below its
detection threshold. Similar power law coefficients arise from several major
oil and gas producers but noticeable differences in emissions magnitudes
suggest large differences in maintenance practices and infrastructures across
countries.
