Systems. apparatuses, methods, and computer program products for peak prediction

An apparatus comprising memory and one or more processors communicatively coupled to the memory, the one or more processors configured to:

• identify historical flaring data representing flaring associated with one or more plants, wherein the historical flaring data is associated with a first time period;
• identify historical plant component operations data representing historical operations of one or more components of the one or more plants, wherein the historical plant component operations data is associated with the first time period;
• configure a flare peak prediction model using the historical flaring data and the historical plant component operations data;
• receive real-time plant operations data representing real-time operations of a first plant of the one or more plants;
• generate flare peak prediction data by applying the real-time plant operations data to the flare peak prediction model;
• and
• initiate performance of one or more flare peak prediction responsive actions based on the flare peak prediction data.

A computer program product comprising at least one non-transitory computer-readable storage medium having computer program code stored thereon that, in execution with at least one processor, configures the computer program product for:

• identifying historical flaring data representing flaring associated with one or more plants, wherein the historical flaring data is associated with a first time period;
• identifying historical plant component operations data representing historical operations of one or more components of the one or more plants, wherein the historical plant component operations data is associated with the first time period;
• configuring a flare peak prediction model using the historical flaring data and the historical plant component operations data;
• receiving real-time plant operations data representing real-time operations of a first plant of the one or more plants;
• generating flare peak prediction data by applying the real-time plant operations data to the flare peak prediction model;
• and
• initiating performance of one or more flare peak prediction responsive actions based on the flare peak prediction data.