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

Claim 4:
5. The method of claim 1, further comprising:
selecting, by the at least one processor, at least one outlier analytics machine learning model based at least in part on the well drilling performance model request;
determining, by the at least one processor, a set of outlier analytics model parameters for the at least one outlier analytics machine learning model comprising:
(7) applying, by the at least one processor, 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) generating, by the at least one processor, 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) repeating, by the at least one processor, 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

transmitting, by the at least one processor, 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.