905 results about "Process plant" patented technology

Operational status information associated with a process entity in a process plant is received. The operational status information is mapped into one of a plurality of status conditions. Then, an alert message associated with the process entity is generated, where the alert message is indicative of the one status condition of the plurality of status conditions.

The invention relates to processes and plants for continuous solution polymerization. Such plant and processes include a pressure source, a polymerization reactor, downstream of said pressure source, pressure let-down device, downstream of said polymerization reactor, and a separator, downstream of said pressure let-down device, wherein said pressure source is sufficient to provide pressure to said reaction mixture during operation of said process plant to produce a single-phase liquid reaction mixture in said reactor and a two-phase liquid-liquid reaction mixture in said separator in the absence of an additional pressure source between said reactor and said separator.

A process control management method in a computer system for configuring and supervising a process plant includes providing an interactive user interface to manage a plurality of objects in the process plant, where each of the plurality of objects corresponds to a physical or logical entity in the process plant, including generating a navigation pane to display a set of selectable items, each in the set of selectable items corresponding to a respective one of the plurality of objects, and generating a command pane to display a set of selectable controls, each in the set of selectable controls corresponding to a task to be performed on at least one of the plurality of objects in the process plant; receiving a selection of one of an item in the set of selectable items via the navigation panel and a control in the set of selectable controls via the command panel; determining an operational context based on the received selection, wherein the operational context corresponds to one of a range of actions applicable to the selection if the selection is an item selection, or a range of items to which the selection is applicable if the selection is a control selection; and adjusting one of the navigation pane or the command pane according to the operational context, including displaying a subset of selectable items in the navigational pane, wherein each in the subset of selectable items is within the range applicable to the selection, if the selection is a control selection, and displaying a subset of selectable controls in the command pane, wherein each in the subset of selectable controls is within the range applicable to the selection, if the selection is an item selection.

A process control system uses a data collection and distribution system and an asset utilization suite to collect data or information pertaining to the assets of a process plant from various sources or functional areas of the plant including, for example, the process control functional areas, the maintenance functional areas and the process performance monitoring functional areas. This data and information is manipulated in a coordinated manner by the data collection and distribution system and is redistributed to other applications where this it is used to perform overall better or more optimal control, maintenance and business activities. Information or data may be collected by maintenance functions pertaining to the health, variability, performance or utilization of a device, loop, unit, area, etc. and this information may then be sent to and displayed to a process operator or maintenance person to inform that person of a current or future problem. A user interface is provided that enables users to access and manipulate the expert engine to optimize plant operation or cause optimization of plant operation, to get information about the operation of the plant, etc. Furthermore, applications, such as work order generation applications may automatically generate work orders, parts or supplies orders, etc. based on events occurring within the plant.

Smart graphic elements are provided for use as portions or components of one or more graphic displays, which may be executed in a process plant to display information to users about the process plant environment, such as the current state of devices within the process plant. Each of the graphic elements is an executable object that includes a property or a variable that may be bound to an associated process entity, like a field device, and that includes multiple visualizations, each of which may be used to graphically depict the associated process entity on a user interface when the graphic element is executed as part of the graphic display. Any of the graphic element visualizations may be used in any particular graphic display and the same graphic display may use different ones of the visualizations at different times. The different visualizations associated with a graphic element make the graphic element more versatile, at they allow the same graphic element to be used in different displays using different graphical styles or norms. These visualizations also enable the same graphic element to be used in displays designed for different types of display devices, such as display devices having large display screens, standard computer screens and very small display screens, such as PDA and telephone display screens.

Smart process objects, which have both graphical and simulation elements, may be used to create one or more graphic displays and one or more process simulation modules, each having elements which may communicate with one another and with devices within a process plant to model and depict the operation of a process plant. The smart process objects may include one or more device objects, which represent physical devices within the process plant, and may include one or more smart connection objects which represent and model the flow of a material, such as a gas, a liquid, a composition of solid, electricity, etc., through a connection between entities within the process plant. The smart process objects may also include one or more smart stream objects, which also may represent and model the flow of a material at a particular point in the process plant. The smart device, connection, and stream objects may be interconnected to model the flow of material through the actual physical devices within the process plant thereby enabling enhanced simulation and modeling capabilities with the smart connection and stream objects providing a convenient manner of enabling different entities and sections of a process model to be tied to one another.

An integrated configuration viewing system for use in a process plant includes a computer readable memory and a plurality of template configuration objects stored on the computer readable memory. Each of the plurality of template configuration objects includes a graphical representation of a physical entity within the process plant, a parameter storage adapted to communicate with the process plant to obtain and store device parameter information associated with the physical entity within the process plant, and a configuration storage adapted to store configuration parameters associated with the physical entity within the process plant. A first routine is stored on the computer readable memory and adapted to be executed on the processor to present a library section on a user interface. The library section is adapted to present depictions of the plurality of template configuration objects to a user via the user interface. A second routine is stored on the computer readable memory and adapted to be executed on the processor to present a configuration area on the user interface. And a third routine is stored on the computer readable memory and adapted to be executed on the processor to enable a user to select one of the plurality of template configuration objects from the library section and to place the selected template configuration object within the configuration area to create a process configuration module within the configuration area.

Disclosed are systems and methods for on-line monitoring of operation of a process in connection with process measurements indicative of the operation of the process. In some cases, the operation of the process is simulated to generate model data indicative of a simulated representation of the operation of the process and based on the process measurements. A multivariate statistical analysis of the operation of the process is implemented based on the model data and the process measurements. The output data from the multivariate statistical analysis may then be evaluated during the operation of the process to enable the on-line monitoring of the process involving, for instance, fault detection via classification analysis of the output data.

A maintenance system for a process plant collects and uses historical data about maintenance orders. The data identifies the maintenance items for completing an order, such as the labor, materials, and maintenance tasks required. The data is historical data developed from actual completed maintenance orders. The system uses archived historical data and estimates various maintenance information, such as estimated cost for completing the maintenance order, and estimated start and completion times. The estimated data may be based on averaged data as a result. This estimated data along with the other maintenance order information may be sent to a scheduler for identifying a priority to the maintenance order and scheduling it accordingly.

A configuration system for a process plant uses module class objects to assist in configuring, organizing and changing the control and display activities within the process plant. Each module class object generically models or represents a process entity, such as a unit, a piece of equipment, a control activity, etc., and may be used to create instances of the object, called module objects, which represent and are tied to specific equipment within the process plant. The module class objects may represent process entities of any desired scope, which means that a single module class object may be used to configure the control and display activities of process entities of any desired scope within the process plant, instead of just at a control module level. In particular, module class objects of a large scope may be used to configure large sections or portions of the process plant, which makes configuration of the process plant easier and less time consuming. A module class object may be a unit module class object reflecting a physical unit within the process plant, an equipment module class object reflecting a physical piece of equipment within the process plant, a control module class object reflecting a control module or scheme within the process plant, or a display module class object reflecting a display routine that provides information to a user within the process plant.

A method and system for monitoring an entity within a process plant includes collecting entity status data pertaining to the status of an entity within the process plant collecting criticality data pertaining to the importance of the entity within the process plant, and using the entity status data and the criticality data to perform a function within the process plant.

Graphic displays, which display information about process elements and the manner in which these elements are connected within a process, process modules, which simulate the operation of the elements depicted within the graphic displays and control modules, which perform on-line control activities within a process, may be communicatively connected together to provide a combined control, simulation and display environment that enables enhanced control, simulation and display activities. Smart process objects, which have both graphical and simulation elements, may used to create one or more graphic displays and one or more process simulation modules, each having elements which may communicate with one another to share data between the graphic displays and the process modules. Additionally, function blocks within control modules executed in the process plant may reference the elements within the graphic displays and the process modules (and vice versa) so that control modules may use simulated data developed by the process modules to perform better control, so that process modules may perform better simulation using actual pant data from the control modules, and so that the graphic displays may be used to illustrate actual process data and / or simulated process data as developed by the control modules and the process modules.

A system for gathering data associated with a process plant, in which parameters are generated by a plurality of signal processing data collection blocks, automatically determines parameters to be monitored. The signal processing data collection blocks may generate data such as statistical data, frequency analysis data, auto regression data, wavelets data, etc. Then, the system monitors the determined parameters.

A handheld communicator wirelessly interfaces or communicates with individual devices in a process control system, such as field devices, controllers, etc., to wirelessly perform monitoring, maintenance, configuration and control activities with respect to those devices. The wireless handheld communicator includes a housing adapted for handheld operation, a processing unit disposed within the housing, a computer readable memory disposed within the housing and coupled to the processing unit and a display, a keypad and a radio frequency transceiver. The handheld communicator may be adapted to communicate with a host system to receive information needed to communicate with various field devices in the process plant and may then be used to wirelessly communicate with each of the various field devices directly while in close proximity to the field devices to perform monitoring and configuration activities with respect to the field devices. Thereafter, information obtained from the field devices may be wirelessly communicated to the host system or to a repository, such as a data historian or a configuration database.

A system for visually presenting data receives signal processing data generated signal processing data collection blocks corresponding to devices associated with a process plant. The signal processing data collection blocks may generate data such as statistical data, frequency analysis data, auto regression data, wavelets data, etc. The system displays an image representative of the devices and representative of a context of the devices within the process plant. Additionally, data based on signal processing data corresponding to one or more devices is displayed. For example, the signal processing data for the device could be displayed. As another example, data may be generated based on the signal processing data and this generated data may be displayed.

Systems, methods and devices are provided for detecting airborne particulates and / or gases at remote oil and natural gas sites, such as wells, and / or processing and refinery plants. One such system comprises an unmanned aerial vehicle (UAV), such as a drone aircraft, configured for aerial dispatch to the remote site and wireless connection to an external processor, cloud apparatus or the like. The UAV includes one or more on-board sensors configured to detect airborne particulates or gases, such as methane gas, hydrogen sulfide, hydrocarbons, weather conditions, ground-based elements or compounds or the like. The on-board sensors may comprise light transmitters, such as lasers, configured for transmitting light or laser pulses into the ambient environment around the remote site and detecting backscatter to detect the concentration and / or velocity vector(s) of the airborne particulates or gases. The UAV is further configured to wirelessly transmit data associated with the airborne particulates or gases to the external processor or cloud apparatus in real-time.

An integrated optimization and control technique integrates an optimization procedure, such as a linear or quadratic programming optimization procedure, with advanced control, such as model predictive control, within a process plant in which the number of control and auxiliary variables can be greater than the number of manipulated variables within the process plant. The technique first determines a step response matrix defining the correlation between changes in the manipulated variables and each of the process variables that are used during optimization. A subset of the control variables and auxiliary variables is then selected to be used as inputs to a model predictive control routine used to perform control during operation of the process and a square M by M control matrix to be used by the model predictive control routine is generated. Thereafter, during each scan of the process controller, the optimizer routine calculates the optimal operating target of each of the complete set of control and auxiliary variables and provides the determined target operating points for each of the selected subset of control and auxiliary variables to the model predictive control routine as inputs. The model predictive control routine determines changes in the manipulated variables for use in controlling the process from the target and measured values for each of the subset of the control and auxiliary variables and the M by M control matrix.

A process for liquefying natural gas in conjunction with processing natural gas to recover natural gas liquids (NGL) is disclosed. In the process, the natural gas stream to be liquefied is taken from one of the streams in the NGL recovery plant and cooled under pressure to condense it. A distillation stream is withdrawn from the NGL recovery plant to provide some of the cooling required to condense the natural gas stream. The condensed natural gas stream is expanded to an intermediate pressure and supplied to a mid-column feed point on a distillation column. The bottom product from this distillation column preferentially contains the majority of any hydrocarbons heavier than methane that would otherwise reduce the purity of the liquefied natural gas, and is routed to the NGL recovery plant so that these heavier hydrocarbons can be recovered in the NGL product. The overhead vapor from the distillation column is cooled and condensed, and a portion of the condensed stream is supplied to a top feed point on the distillation column to serve as reflux. A second portion of the condensed stream is expanded to low pressure to form the liquefied natural gas stream.

A process control system simulation technique performs real-time simulation of an actual process control network as that network is running within a process plant in a manner that is synchronized with the operation of the actual process control network. This real-time, synchronized simulation system includes a simulation process control network and a process model which are automatically updated periodically during the operation of the actual process control network to reflect changes made to the process control network, as well as to account for changes in the plant itself, i.e., changes which require an updated process model. The disclosed simulation system provides for more readily accessible and usable simulation activities, as the process control network and the process models used within the simulation system are synchronized with and up-to-date with respect to the current process operating conditions. Moreover, this simulation system is more accurate as it uses process models developed from the current state of the process whenever the simulation system beings to perform a simulation. Still further, the disclosed simulation system is easy to operate, as it uses the same user interface applications as the actual process control network and can be initialized and used at any time during operation the process plant without any significant configuration or set-up activities.

An operator interface within a process plant includes an execution engine that implements process flow modules made up of interconnected smart process objects that are aware of devices and other entities within the plant and that can perform methods to detect conditions within the plant, especially on a system-level basis. The smart process objects include a display element to be displayed to the operator, data storage for storing data pertaining to and / or received from an associated entity within a plant, inputs and outputs for communicating with other smart process objects and methods that may be executed on the stored and received data to detect plant conditions, including system-level conditions, such as leaks, errors and other conditions. Process flow modules, which may be made up of numerous interconnected smart process objects, may also include flow algorithms associated therewith to calculate mass balances, flows, etc. for the process elements within the process flow modules.

A portable communicator for operating a field device. The portable communicator is configured to communicate with the field device to configure and / or analyze performance of a field device in an efficient manner. In some embodiments, the portable communicator includes an intuitive user interface that allows the user to perform a relatively limited set of preconfigured procedures on a field device. The portable communicator may communicate with the field device via a wire and / or wirelessly. In one embodiment, the portable communicator is a Bluetooth-enabled smartphone, a PDA, a pocket PC, or any Bluetooth-enabled generic mobile communication device. The portable communicator may communicate with the field device via a wireless communication unit (e.g., Bluetooth modem) coupled to the field device. In a process plant environment, in which the field device is coupled to a controller, the portable communicator may communicate with the field device without communicating with the controller.

A system detects abnormal conditions associated with a process plant. The system receives signal processing data generated by signal processing data collection blocks implemented by a plurality of devices. The signal processing data collection blocks may generate data such as statistical data, frequency analysis data, auto regression data, wavelets data, etc. The system includes an analysis engine configured to detect at least one abnormal condition associated with the process plant. The signal processing data is provided to the analysis engine, and the analysis engine determines if an action should be taken.

A process plant uses an asset utilization expert to collect data or information pertaining to the assets of the process plant from various sources or functional areas of the plant including, for example, the process control functional areas, the maintenance functional areas and the business systems functional areas. This data and information is stored in a database and is sent to and manipulated in a coordinated manner by tools, such as optimization and modeling tools. This data is also redistributed to other areas or tools where it is used to perform overall better or more optimal control, maintenance and business activities. Information or data may be collected by maintenance functions pertaining to the health, variability, performance or utilization of a device, loop, unit, etc. and this information may then be sent to and displayed to a process operator or maintenance person to inform that person of a current or future problem.

A number of techniques are disclosed to facilitate process data collection and monitoring. The techniques may involve and support the selection of process parameters to be monitored, including scanning techniques for automated identification of such parameters. The techniques may also involve the management of data storage and archiving operations to facilitate continued process data collection arising from an on-line process. In these and other ways, the disclosed techniques are well-suited for process data collection and monitoring in connection with diagnostic elements of a process control system and other contexts involving process status indicators and the underlying process variables.

Process data mining system and method. The system analyzes data from complex process plants or systems and operates in open-book and closed-book modes. In closed-book mode, the system monitors incoming data sets against pre-defined clusters of data values and generates reports, indicating whether incoming data is a match or a no-match with the pre-defined clusters. In open-book mode, the system generates initial clusters, without having a-priori knowledge of the component or process, and also creates clusters “on the fly”, thereby fine-tuning the analysis. A knowledge base encompasses a combination of parameters for a particular component. Clusters are defined within the knowledge base, each cluster representing a particular operating condition. The system expands clusters, within pre-defined limits, or creates new clusters, as needed, in order to accommodate incoming data values. Newly created clusters are then named, so as to indicate the particular operating conditions.

The invention relates to processes and plants for continuous solution polymerization. Such plant and processes include a pressure source, a polymerization reactor, downstream of said pressure source, pressure let-down device, downstream of said polymerization reactor, and a separator, downstream of said pressure let-down device, wherein said pressure source is sufficient to provide pressure to said reaction mixture during operation of said process plant to produce a single-phase liquid reaction mixture in said reactor and a two-phase liquid-liquid reaction mixture in said separator in the absence of an additional pressure source between said reactor and said separator.