Abstract: Methods and systems for performing transient processes may include: providing a path and path thresholds for an operational condition as a function of progress of a transient process based on historical data of previously performed transient processes; performing the transient process in a chemical reactor using operational parameters; measuring the operational condition of the transient process as a function of the progress of the transient process; and adjusting one or more of the operational parameters during the progress of the transient process to maintain the operational condition within the path thresholds.

Abstract: A method of monitoring and controlling an industrial process includes capturing images of a non-sensible process condition of the industrial process with an image capture device, receiving the images of the non-sensible process condition with a computer system, and converting each image into a corresponding numeric value with a machine learning model stored in and operable by the computer system. The corresponding numeric value is then received and compared to a predetermined numeric value for the non-sensible process condition with a closed-loop controller, and an actuator operates with the closed-loop controller to adjust operation of the industrial process when the corresponding numeric value fails to match the predetermined numeric value or is outside of a defined threshold near the predetermined numeric value.

Abstract: A method for operating a processing/manufacturing facility (e.g., processing/manufacturing facility) may comprise: collecting operational conditions in a processing/manufacturing facility from one or more automated systems and/or sensors; communicating the operational conditions to one or more of a plurality of agents that comprise an adaptive analytical model, wherein the plurality of agents comprises an agent selected from the group consisting of: a software sensor agent, a base control stability agent, an alarm agent, a transient process agent, an advanced control optimization agent, a computer vision agent, a display agent, an integrator/orchestrator agent, and any combination thereof; and deriving data, instructions for changing operational parameters of a process of the processing/manufacturing facility, and/or recommendations for changing operational parameters of the process of the processing/manufacturing facility using the adaptive analytical models of the agents.

Abstract: A virtual operation assistant for use in a processing/manufacturing facility (e.g., processing/manufacturing facility) may be an autonomous system that interfaces with a user. The virtual operation assistant may collect real-time and/or historical data about processes and/or hardware in a processing/manufacturing facility, analyze the data, provide reporting and/or recommendations based on the data, execute commands relating to the operational parameters of the processes and/or hardware, and any combination thereof.

Abstract: Methods and systems for performing transient processes may include: providing a path and path thresholds for an operational condition as a function of progress of a transient process based on historical data of previously performed transient processes; performing the transient process in a chemical reactor using operational parameters; measuring the operational condition of the transient process as a function of the progress of the transient process; and adjusting one or more of the operational parameters during the progress of the transient process to maintain the operational condition within the path thresholds.

Abstract: A method of monitoring and controlling an industrial process includes capturing images of a non-sensible process condition of the industrial process with an image capture device, receiving the images of the non-sensible process condition with a computer system, and converting each image into a corresponding numeric value with a machine learning model stored in and operable by the computer system. The corresponding numeric value is then received and compared to a predetermined numeric value for the non-sensible process condition with a closed-loop controller, and an actuator operates with the closed-loop controller to adjust operation of the industrial process when the corresponding numeric value fails to match the predetermined numeric value or is outside of a defined threshold near the predetermined numeric value.

Abstract: Systems and methods for optimizing a system operating in a first mode of operation include detecting an event associated with a cycle in a first mode of operation. When the cycle ends (i.e., when another event is detected), steady state criteria is applied to determine whether data associated with the cycle satisfies the steady state criteria. Optimization targets can be calculated based on the data associated with the cycle. Control signals including the optimization targets can be applied to a next cycle operating in the first mode of operation to improve process performance.

Abstract: Systems and methods for optimizing a system operating in a first mode of operation include detecting an event associated with a cycle in a first mode of operation. When the cycle ends (i.e., when another event is detected), steady state criteria is applied to determine whether data associated with the cycle satisfies the steady state criteria. Optimization targets can be calculated based on the data associated with the cycle. Control signals including the optimization targets can be applied to a next cycle operating in the first mode of operation to improve process performance.

Abstract: A method is provided for controlling a multi-stage process. The process comprises multiple first stage processes for producing an intermediate product from a feed, and multiple further stage processes for producing an end-product from the intermediate products. The first stage processes comprise multiple intermediate processes and the further stage processes comprise multiple end processes for producing the end product. An intermediate controller controls the first stage processes in response to one or more product properties of the end product EP and a further controller FC controls the further stage processes in response to the product properties of the intermediate product. The multi-stage process further comprises the step of assigning process values to each of the end processes and the intermediate processes. The intermediate controller IC controls operation of the intermediate processes to optimize the overall process value for producing the end product.

Abstract: The present invention is directed to innovative and unique mathematical models that capture key constraints, process kinetics and control structures such that a wide envelope of hydrogen gas and associated light gas supply, distribution and use can be modeled. The present invention is also directed to a real time optimization (RTO) computer application for effective optimization of hydrogen and associated light gas supply and distribution and, thereby, consumption, in a refinery that employs said models and solves an objective function, as well as to a method and refinery using the same. The objective function can be an economic objective function such as the minimization of cost for hydrogen supply and distribution or the maximization of profit based on a valuation of products made by hydrogen consumers in the hydrogen system minus the corresponding cost of the hydrogen supply and distribution.

Abstract: The invention provides a method and means of predicting, in near real-time, the detailed chemical composition of major streams in a refinery, including those downstream from the crude distillation column. The dynamically updated feed characterizations can be derived in near real time from an assay database of current crude diet, RTO information about upstream refinery units and various analyzer inputs. The chemical compositions of each stream are stored and updated in a plant wide database. A broad range of property calculations can be ascertained, either automatically or on demand, from the compositional information. An application permits users, such as operations, planning and engineering personnel, to access the database directly or indirectly (e.g., on line). This information is then used by each user to further optimize the operation of a given refinery unit and/or the plant as a whole.

Abstract: The invention provides a method and means of predicting, in near real-time, the detailed chemical composition of major streams in a refinery, including those downstream from the crude distillation column. The dynamically updated feed characterizations can be derived in near real time from an assay database of current crude diet, RTO information about upstream refinery units and various analyzer inputs. The chemical compositions of each stream are stored and updated in a plant wide database. A broad range of property calculations can be ascertained, either automatically or on demand, from the compositional information. An application permits users, such as operations, planning and engineering personnel, to access the database directly or indirectly (e.g., on line). This information is then used by each user to further optimize the operation of a given refinery unit and/or the plant as a whole.