The effectiveness of measurement-informed inventories in incorporating emissions from abnormal conditions through survey data is highly dependable on the planned field campaign. A well-planned campaign is As described in the previous subsection, distributions of large emitters based on detected emissions were developed separately for the production and midstream sectors, with corresponding probabilities of occurrence. In MAES, these events were modeled uniformly across all sites as a single source of large emissions, 415 with durations ranging from 3 to 14 days. Ideally, emissions would be categorized by specific upset conditions (e.g., tank overpressure, flare malfunction, compressor seal failure). However, the aerial survey's detection limit for CH 4 emissions (50-150 kg/h) and spatial resolution of the instrument required the study team to group all large emissions into a single category. This limitation also restricted the ability to estimate an upset-specific verification multiplier for each prototypical site, allowing only for the calculation of a general 420 multiplier.