Patent ID: 11914680
Assignee: THE HARTFORD STEAM BOILER INSPECTION AND INSURANCE COMPANY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. The system of claim 16, wherein the at least one processor is further configured to:
select at least one extreme well drilling condition machine learning model based at least in part on the well drilling performance model request;
determine a set of extreme well drilling condition model parameters for the at least one extreme well drilling condition machine learning model comprising:
(7) apply the at least one extreme well drilling condition machine learning model having a set of initial model parameters to the well drilling training data set to determine a set of extreme well drilling condition model predicted values; and
(8) generate an extreme well drilling condition error set of extreme well drilling condition data element errors by comparing the set of extreme well drilling condition model predicted values to corresponding actual values of the well drilling training data set;
(9) repeat steps (7)-(8) as a part of the at least one iteration until the termination criterion is satisfied for the at least one well drilling performance machine learning model; and

transmit the extreme well drilling condition machine learning model to the at least one computing device for use in at least one production environment to predict a likelihood of extreme well drilling condition.