AUGMENTED INTELLIGENCE (AI) DRIVEN MISSING RESERVES OPPORTUNITY IDENTIFICATION

Abstract

A method, computer system, and computer program product are provided for identifying missing reserves in a reservoir. Well site data for well sites in a reservoir are ingested. A first machine learning model generates behind casing opportunities and reservoir quality indicators from the plurality of logs. A second machine learning model determines missing reserves based on the reservoir quality indicators for the well sites and in between the wells. A third machine learning model determines candidate wells based on the missing reserves. A fourth machine learning model predicts economic outcomes for intervention options for the candidate wells. An oilfield decision is supported based on the predicted economic outcomes.

CPC Classifications