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

Claim 16:
17. A method for identifying defects in a wellbore, comprising:
receiving log data, the log data corresponding to one or more wellbore operations;
training, using the log data, a machine learning model;
acquiring wellbore data, during a logging operation using a logging tool with one or more radiation generators and one or more radiation detectors, the one or more radiation detectors positioned to obtain signals from a surrounding formation that includes a multi-string casing;
normalizing at least a portion of the wellbore data, the normalized portion of the wellbore data corresponding to a location of interest;
processing the normalized portion of wellbore data using the trained machine learning model;
determining, via a first classifier of the machine learning model, whether a feature of interest is present in the normalized portion of the wellbore data;
upon determining the feature of interest is not present, ending processing of the normalized portion of the wellbore data; and
upon determining the feature of interest is present, determining one or more properties of the feature of interest using at least one additional classifier, the at least one additional classifier processing, as an input, at least a portion of the normalized data and an output from the first classifier.