Abstract: A method and a system for using machine learning technologies to predict the value and timing of operational parameters. These predictions are then used to identify the risk of certain well incidents to occur, and if so notify responsible personnel thereof as to allow preventive actions to be taken.

Abstract: The invention describes a method for creating a digital archive for information generated in drilling and well operations, as well as for planning such operations. The invention further describes a system for linking, storing and accessing the information in a data store, and graphical user interfaces enabling users to accessing information made available in the system. The described system allows internet based (cloud), thus allowing users to access information from different physical and virtual location.

Abstract: Method for controlling the state of an operation in a hydrocarbon exploration and recovery environment, including creating at least one function model, said function model including at least one function, executing at least one function within said function model, defining a plurality of function controls, a pre-determined combination of given function controls within said plurality of function controls defining a signature event, an occurrence of said signature event being indicative of a specific state of said operation, and monitoring the occurrence of said signature event during execution of a certain function included in said at least one function model.