Abstract: There is provided a system for analyzing and controlling a productivity of a drilling apparatus. The exemplary system includes a processor and a memory including instructions that cause the processor to perform certain operations. The operations can include receiving information from a control system of the drilling apparatus and determining a key performance metric based on the information. The operations can further include performing a comparison between the key performance metric and at least one other key performance metric. Furthermore, the operations can further include instructing, based on the comparison, the control system to alter the productivity of the drilling apparatus.

Abstract: Provided is a method and system that includes a plurality of computing modules each configured to (i) retrieve maintenance history and equipment parameters associated with a plurality of equipment components from at least one network and process the maintenance history, (ii) calculate usage intensity based on the maintenance history and equipment parameters, and (iii) create modified maintenance schedules of the plurality of equipment components based on the maintenance history and usage intensity calculated.

Abstract: There is provided a system for analyzing and controlling a productivity of a drilling apparatus. The exemplary system includes a processor and a memory including instructions that cause the processor to perform certain operations. The operations can include receiving information from a control system of the drilling apparatus and determining a key performance metric based on the information. The operations can further include performing a comparison between the key performance metric and at least one other key performance metric. Furthermore, the operations can further include instructing, based on the comparison, the control system to alter the productivity of the drilling apparatus.

Abstract: A method and system for modeling an instance neutral process step allows creation of process templates that categorize various documents, actions, data, dependencies relating to a process step and associating them in a step of a process model, condensing the diverse set of attributes into one cohesive structure. After a process step is fully modeled by configuring the various attributes, processing engines use these attributes to perform various end-user tasks such as viewing input/output data, generating reports, accessing information, and making annotations. Display attributes are specified; knowledge resources, input/output data and runtime behavior are specified and associated with a process step and later accessed by users. For each attribute that is identified, a mechanism is specified for defining and accessing the information in a step-specific manner.