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

Claim 14:
15. The system of claim 11, wherein the at least one processor is further configured to:
select at least one outlier analytics machine learning model based at least in part on the well drilling performance model request;
determine a set of outlier analytics model parameters for the at least one outlier analytics machine learning model comprising:
(7) apply the at least one outlier analytics machine learning model having a set of initial model parameters to the well drilling training data set to determine a set of outlier analytics model predicted values; and
(8) generate an outlier analytics error set of outlier analytics data element errors by comparing the set of outlier analytics 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 outlier analytics machine learning model to the at least one computing device for use in at least one production environment to predict a likelihood of outlier events.