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

Claim 8:
9. A method for identifying defects, comprising:
receiving log data acquired from a radiation detector in a nuclear logging tool, the log data corresponding to one or more wellbore operations using the nuclear logging tool, the log data including data from at least one measurement modality corresponding to a present measurement modality;
training, using the log data, a machine learning model;
acquiring wellbore data, via the present measurement modality, during a logging operation;
processing at least a portion of the wellbore data using the trained machine learning model, the trained machine learning model including a defect classifier, a location classifier, and a size classifier, wherein the portion of the wellbore data is sequentially processed by the defect classifier, the location classifier, and the size classifier, and defect output data from the defect classifier is provided to the location classifier and location output data is provided to the size classifier; and
identifying one or more features of interest in the wellbore data, via the trained machine learning model.