Patent ID: 11914096
Assignee: HALLIBURTON ENERGY SERVICES, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. A method comprising:
acquiring one or more measurements with an EM logging tool from one or more depth points within a wellbore comprising a tubular string;
training a first machine learning model using a training dataset to create a first trained machine learning model;
identifying calibration constants, channel weights, regularization parameters, and initial guesses using at least the first trained machine learning model;
inputting the calibration constants, channel weights, regularization parameters, and initial guesses into a second trained machine learning model, wherein the second trained machine learning model produces one or more outputs, wherein the one or more outputs:
are based at least in part on the calibration constants, channel weights, regularization parameters, and initial guesses; and
comprise one or more estimated pipe attributes; and

performing a wellbore operation based at least in part on the one or more estimated pipe attributes.