Abstract: A drilling system includes a knowledge manager that monitors drilling information for the drilling system. The knowledge manager identifies a trigger event based on drilling information that is outside of a threshold range of values for the drilling information. The trigger event is based a knowledge type. The knowledge manager prepares a mitigation action, such as an alert and/or a change to drilling parameters, to mitigate the trigger event.

Abstract: A method may include obtaining, by the computer processor, rig operation data regarding various drilling rigs at different geographic locations. The method may further include generating, using the rig operation data, a model that identifies a level of risk associated with various rig operations. The method may further include simulating, by the computer processor and using the geographic location data and the model, a sequence of rig operations for constructing a portion of a wellbore drilled by a drilling rig at the desired geographic location.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media for dynamically utilizing, in potentially real time, anomaly pattern detection to optimize operational processes relating to well construction or subterranean drilling. For example, the disclosed systems use time-series data combined with rig states to automatically detect and split similar operations. Subsequently, the disclosed systems identify operation anomalies from a field-data collection utilizing an automated anomaly detection workflow. The automated anomaly detection workflow can identify operation anomalies at a more granular level by determining which process behavior contributes to the operation anomaly (e.g., according to corresponding process probabilities for a given operation). In addition, the disclosed systems can present graphical representations of operation anomalies, process behaviors (procedural curves), and/or corresponding process probabilities in an intuitive, user-friendly manner.

Abstract: A method may include obtaining, by the computer processor, rig operation data regarding various drilling rigs at different geographic locations. The method may further include generating, using the rig operation data, a model that identifies a level of risk associated with various rig operations. The method may further include simulating, by the computer processor and using the geographic location data and the model, a sequence of rig operations for constructing a portion of a wellbore drilled by a drilling rig at the desired geographic location.