Patent ID: 11939858
Assignee: BAKER HUGHES OILFIELD OPERATIONS LLC
Field: Computer technology (Electrical engineering)
Classification: CPC E  G | IPC E  G

Claim 0:
1. A method for detecting a wellbore defect, comprising:
receiving, at a trained machine learning system, input data, the input data corresponding to log data acquired from a radiation detector in a nuclear logging tool for a wellbore operation in a multi-barrier wellbore;
processing, using a first classifier of the machine learning system, the input data;
identifying, using the first classifier of the machine learning system, a feature of interest associated with the input data;
receiving, at a second classifier of the machine learning system, first output data from the first classifier and the input data, the first output data corresponding to a defect associated with the wellbore;
receiving, at a third classifier of the machine learning system, second output data from the second classifier and the input data, the second output data corresponding to a first property of the defect; and
providing a report corresponding to the defect, the first property of the defect, and a second property of the defect corresponding to third output data from the third classifier.