Augmented intelligence (ai) driven missing reserves opportunity identification

A computer program product comprising:

• a non-transitory computer-readable storage media having program code stored thereon that, when executed by a computer processor of a computing system, cause the computing system to perform the method of:
• ingesting a plurality of logs of well site data for well sites in a reservoir;
• generating, by a first machine learning model, a plurality of behind casing opportunities from the plurality of logs;
• determining, by a second machine learning model, missing reserves based on the reservoir quality indicators for the plurality of well sites;
• determining, by a third machine learning model, candidate wells based on the missing reserves;
• predicting, by a fourth machine learning model, economic outcomes and for ranking a plurality of intervention options for the candidate wells;
• and
• controlling an oilfield decision based on the predicted economic outcomes.

A system comprising:

• a computer processor;
• memory;
• and
• instructions stored in the memory and executable by the computer processor to cause the computer processor to perform operations, the operations comprising:
• ingesting a plurality of logs of well site data for well sites in a reservoir;
• generating, by a first machine learning model, a plurality of behind casing opportunities from the plurality of logs;
• determining, by a second machine learning model, missing reserves based on the reservoir quality indicators for the plurality of well sites;
• determining, by a third machine learning model, candidate wells based on the missing reserves;
• predicting, by a fourth machine learning model, economic outcomes and for ranking a plurality of intervention options for the candidate wells;
• and
• controlling an oilfield decision based on the predicted economic outcomes.