Gridded modeling of expected methane column concentrations in oil and gas production regions could be performed using the same approaches used in performing daily ozone forecasts and smoke forecasts during fire events (US EPA, 2023b,c). The spatial resolution required for identifying methane emission events in regions with large and complex routine emissions is not clear, however. The best currently available gridded inventory for methane emissions reports calendar year 2012 data using a 0.1 o by 0.1 o spatial resolution inventory . This work reports simulations of total column concentrations of methane in a representative oil and gas production region, using a site-level methane emission inventory for >10,000 sites coupled with an atmospheric transport model with a fine grid resolution. Modeling was performed at both a 4 km and a 1.33 km spatial resolution. Changes in column concentrations expected due to large (100 kg/hr and 1000 kg/hr) emission events are compared to the column concentrations due to routine emissions and emission events from nearby sources. Data sets are generated, simulating column concentrations at fine spatial and temporal resolution, with and without large emission events. The data sets of the column concentrations can be used to assess the potential of emission event detection, localization and quantification algorithms based on methane column loading observations.