A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions/intersections therebetween.

A method includes receiving data characterizing a configuration of an asset configured within an oil and gas production environment. The data can include attribute-value pairs identifying attributes of the configuration of the asset and values of the attributes. The attribute-value pairs can correspond to a hierarchical structure of the asset and sub-components of the asset. The method can include determining a representation of the asset. The representation can be provided in a provided in a language-independent format suitable for use with data interchange application programming interfaces. The method can include determining an asset model of the asset. The asset model can include a digital representation characterize the hierarchical structure of the asset and sub-components of the asset. The asset model can include computer-readable, executable content associated with the attribute-value pairs. The method can include providing asset model. Related systems, techniques, and non-transitory computer readable mediums are also described.

A method of controlling a thermal system of an industrial process includes monitoring intermediate data, associating the intermediate data with correlation data, wherein the correlation data includes an internal process control input, an external heater control input, the output control, or a combination thereof. The method further includes generating a model that defines a relationship between the intermediate data and the correlation data, identifying a state of the heater system based on the model, and selectively performing a corrective action based on the identified state of the heater system.

A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions/intersections therebetween.

A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions/intersections therebetween.

A system for predicting an effluent parameter associated with a wastewater treatment process including a predictor module configured to receive a first input dataset comprising a plurality of wastewater inflow parameters to predict a biodegradable type of effluent wastewater; a mechanistic simulator configured to receive the biodegradable type of effluent wastewater and the plurality of wastewater inflow parameters as a second input dataset to predict the effluent parameter.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of physical structures using roughing toolpath sequences generated for subtractive manufacturing include, in one aspect, a method including: obtaining 3D models of a part and a workpiece and information regarding different cutting tools and cutting data therefor; determining a set of candidate combinations of the different cutting tools to effect the roughing operations by estimating a target machining result for each of multiple, tool-size-ordered lists of the different cutting tools; generating an expanded set of combinations of the different cutting tools to effect the roughing operations by adding variations of the candidate combinations; populating a multidimensional roughing operations representation vector using the expanded set of combinations; optimizing values of the multidimensional roughing operations representation vector using simulation of the roughing operations; and providing specified tool selections and operational parameters for use in roughing the part.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of physical structures using roughing toolpath sequences generated for subtractive manufacturing include, in one aspect, a method including: obtaining 3D models of a part and a workpiece and information regarding different cutting tools and cutting data therefor; determining a set of candidate combinations of the different cutting tools to effect the roughing operations by estimating a target machining result for each of multiple, tool-size-ordered lists of the different cutting tools; generating an expanded set of combinations of the different cutting tools to effect the roughing operations by adding variations of the candidate combinations; populating a multidimensional roughing operations representation vector using the expanded set of combinations; optimizing values of the multidimensional roughing operations representation vector using simulation of the roughing operations; and providing specified tool selections and operational parameters for use in roughing the part.

A cognitive computing system for enhancing oilfield operations, in some embodiments, comprises: neurosynaptic processing logic; and one or more information repositories accessible to the neurosynaptic processing logic, wherein the neurosynaptic processing logic produces a recommendation in response to an oilfield operations indication, the neurosynaptic processing logic produces said recommendation based on a probabilistic analysis of said oilfield operations indication, resources in the one or more information repositories, and oilfield operations models in the one or more information repositories, said oilfield operations models pertaining to oilfield operations associated with said indication, wherein the neurosynaptic processing logic presents said recommendation to a user.

A cognitive computing system for enhancing oilfield operations, in some embodiments, comprises: neurosynaptic processing logic; and one or more information repositories accessible to the neurosynaptic processing logic, wherein the neurosynaptic processing logic produces a recommendation in response to an oilfield operations indication, the neurosynaptic processing logic produces said recommendation based on a probabilistic analysis of said oilfield operations indication, resources in the one or more information repositories, and oilfield operations models in the one or more information repositories, said oilfield operations models pertaining to oilfield operations associated with said indication, wherein the neurosynaptic processing logic presents said recommendation to a user.