An apparatus comprising at least one processor and at least one non-transitory memory comprising program code, wherein the at least one non-transitory memory and the program code are configured to, with the at least one processor, cause the apparatus to at least: obtain a plurality of gas column density maps associated with one or more gas leak tests, each gas column density map having an associated distance from a gas leak imaging device to a corresponding one of the one or more gas leak tests and an associated leak rate of a corresponding one of the one or more gas leak tests; determine if the plurality of gas column density maps meet a predefined quality threshold; if the plurality of gas column density maps does not meet the predefined quality threshold, filter the plurality of gas column density maps to remove any gas column density maps that do not meet one or more predefined quality metrics and generate a leak rate predictive model based at least in part on providing some or all of any remaining gas column density maps that do meet the one or more predefined quality metrics, associated distances from the gas leak imaging device to the corresponding one of the one or more gas leak tests, and associated leak rates of the corresponding one of the one or more gas leak tests to an artificial intelligence algorithm; and if the plurality of gas column density maps does meet the predefined quality threshold, generate a leak rate predictive model based at least in part on providing some or all of the gas column density maps, associated distances from the gas leak imaging device to the corresponding one of the one or more gas leak tests, and associated leak rates of the corresponding one of the one or more gas leak tests to the artificial intelligence algorithm. obtain a plurality of gas column density maps associated with one or more gas leak tests, each gas column density map having an associated distance from a gas leak imaging device to a corresponding one of the one or more gas leak tests and an associated leak rate of a corresponding one of the one or more gas leak tests; determine if the plurality of gas column density maps meet a predefined quality threshold; if the plurality of gas column density maps does not meet the predefined quality threshold, filter the plurality of gas column density maps to remove any gas column density maps that do not meet one or more predefined quality metrics and generate a leak rate predictive model based at least in part on providing some or all of any remaining gas column density maps that do meet the one or more predefined quality metrics, associated distances from the gas leak imaging device to the corresponding one of the one or more gas leak tests, and associated leak rates of the corresponding one of the one or more gas leak tests to an artificial intelligence algorithm; and if the plurality of gas column density maps does meet the predefined quality threshold, generate a leak rate predictive model based at least in part on providing some or all of the gas column density maps, associated distances from the gas leak imaging device to the corresponding one of the one or more gas leak tests, and associated leak rates of the corresponding one of the one or more gas leak tests to the artificial intelligence algorithm. <EOS>