Gas differentiating sensor suite

A gas leak detection system, comprising:

• a sensor suite for sampling an air sample at a site and outputting observed sensor data, the sensor suite comprising:
• one or more environmental condition sensors for measuring the temperature and humidity of the air sample;
• and
• an array of metal oxide sensors, each of the metal oxide sensors having different sensitivities to methane and different sensitivities to volatile organic compounds;
• non-transitory computer readable storage media that stores a gas leak detection model, generated by a machine learning algorithm trained by exposing each of the metal oxide sensors to known concentrations of methane and volatile organic compounds having measured temperatures and measured humidity;
• and
• a processing unit that:
• models a relationship between measured temperature and humidity and sensor data output by each of the metal oxide sensors;
• identifies the temperature and humidity of the air sample;
• identifies a background methane concentration calculated based on a wind direction at the site;
• uses the gas leak detection model to generate predicted sensor data for a baseline air sample having only the background methane concentration at the temperature and humidity of the air sample;
• compares the observed sensor data output by each of the metal oxide sensors to the predicted sensor data for the baseline air sample having only the background methane concentration;
• and
• uses the gas leak detection model to calculate a methane concentration of the air sample based on the comparison of the sensor data output by each of the metal oxide sensors to the predicted sensor data for the baseline air sample having only the background methane concentration.