Systems, apparatuses, methods, and computer program products for segregation of flaring and venting volumes using machine learning approaches

An apparatus comprising at least one processor and at least one memory coupled to the processor, wherein the processor is configured to:

• receive sensor data from at least a first sensor, wherein the sensor data is associated with a flare;
• determine, based on the sensor data, a first gas volume of a first gas associated with the flare, wherein the flare is associated with a plurality of gases;
• determine, via a machine learning process, one or more classifications of the flare based on the sensor data and the first gas volume, wherein the one or more classifications is chosen from a set of classifications including routine flaring, and wherein at least one of the one or more classifications of the flare is determined to be routine flaring.