The invention provides a
drill rod thread ultimate
bearing capacity prediction model training method and
system, and belongs to the field of
oil drilling equipment, and the method comprises the steps: collecting sample points of a thread failure related parameter space; constructing a finite
element model according to the sample points, and calculating limit torque values of the sample points based on the finite
element model; constructing a training
data set according to the failure related parameters and the limit torque values of the sample points; and inputting the training
data set into the neural
network model, and adjusting the neural
network model by taking the
physical information loss function as an optimization target to obtain a thread ultimate bearing prediction model. According to the method, a
physical information loss function is used as a core optimization target, so that physical rule constraint is applied to a neural network predicted value, the learning process is forced to fit data and follow the basic principle of
structural mechanics, and the generalization ability and prediction reliability of the model under the extrapolation working condition are remarkably improved.