Abstract: A method is provided for automatically or semi-automatically analyzing process hazards and validating protection mechanisms for an industrial process. The method can involve establishing communication between a simulation tool and a process hazard analysis tool. The simulation tool simulates operation of the process according to a process model. The method can further involve creating, using the process hazard analysis tool, conditions for hazards in the process based on information learned about the industrial process from the simulation tool; for each of the hazards, simulating the hazards using the simulation tool and attempting to prevent the hazards using the process hazard analysis tool by introducing protective mechanism(s) to the process; and evaluating effectiveness of the introduced protective mechanisms for each of the hazards and creating safety requirements for the process based on the evaluated effectiveness.

Abstract: A sensor service prediction system and method are provided for a sensor. The system monitors sensor operations of the sensor, and provides a calendar age odometer which increments a calendar age of the sensor by a first time interval as the sensor operates. The system further provides an accelerated age odometer which increments an accelerated age of the sensor by a second time interval according to the increment of the calendar age and a sensor temperature or other measurable environmental condition associated therewith. The system obtains a value of a sensor property at different calendar ages or accelerated ages of the sensor over time, and predicts and outputs when the sensor property of the sensor is anticipated to reach a sensor property threshold based on the values of the sensor property in relations to the accelerated age.

Abstract: In a Boundaryless Control High Availability (“BCHA”) system (e.g., industrial control system) comprising multiple computing resources (or computational engines) running on multiple machines, technology for computing in real time the overall system availability based upon the capabilities/characteristics of the available computing resources, applications to execute and the distribution of the applications across those resources is disclosed. In some embodiments, the disclosed technology can dynamically manage, coordinate recommend certain actions to system operators to maintain availability of the overall system at a desired level. High Availability features may be implemented across a variety of different computing resources distributed across various aspects of a BCHA system and/or computing resources. Two example implementations of BCHA systems described involve an M:N working configuration and M:N+R working configuration.

Abstract: A system for dynamically load-balancing at least one redistribution element across a group of computing resources that facilitates at least an aspect of an Industrial Execution Process in an M:N working configuration is illustrated.

Abstract: Techniques for notification concerning recall or notification of non-conformance of an industrial instrument product are provided. A module associated with the instrument communicates with the vendor of the instrument over a wide-area communications link or internet link. When the module receives an alert notice from the vendor pertaining to recall or non-conformance of the instrument, the module transmits the alert information to the customer or an associate of the customer having a responsibility for the instrument. The module may also cause the alert information and diagnostic, maintenance, or update information to be displayed on a display device of the instrument.

Abstract: In a Boundaryless Control High Availability (“BCHA”) system (e.g., industrial control system) comprising multiple computing resources (or computational engines) running on multiple machines, technology for computing in real time the overall system availability based upon the capabilities/characteristics of the available computing resources, applications to execute and the distribution of the applications across those resources is disclosed. In some embodiments, the disclosed technology can dynamically manage, coordinate recommend certain actions to system operators to maintain availability of the overall system at a desired level. High Availability features may be implemented across a variety of different computing resources distributed across various aspects of a BCHA system and/or computing resources. Two example implementations of BCHA systems described involve an M:N working configuration and M:N+R working configuration.

Abstract: Methods and Systems are described for control at/of a network node. The network node can include a control module and first and second modules coupled to the control module. The first module can be configured to select first input/output (I/O) types of a field device coupled at an I/O interface of the network node. The second module can be configured to select a second I/O types of the field device. The first and second modules can be coupled to the I/O interface through a field device coupler.

Abstract: Centrally optimizing production of a reservoir that has a plurality of wells comprises monitoring production of each well in the reservoir using one or more respective sensors at each well. Sensor data indicative of the monitored production of each well from the one or more respective sensors is input to a central processing device for processing to evaluate the production of each well. The production of each well is evaluated to identify opportunities for optimizing production by the plurality of wells in the reservoir. In addition, one or more actions are taken using the central processing device to optimize production by the plurality of wells based on the identified opportunities for optimizing production.

Abstract: Smart Wireless Adapters are provided herein for establishing communication between measurement devices and a measurement control and data acquisition system in an industrial system. In one aspect, a method of establishing communication between a Pneumatic or Analog measurement device and the measurement control and data acquisition system includes providing a Pneumatic or Analog measurement device and providing a Smart Wireless Adapter capable of electrically and mechanically coupling to the Pneumatic or Analog measurement device. The Pneumatic or Analog measurement device is configured to measure one or more parameters in the industrial system and provide a value or signal indicative of the measured parameters at an output of the Pneumatic or Analog measurement device.

Abstract: Vortex sensor amplitude information may be used to validate that a vortex signal being measured corresponds to an actual fluid flow and is not noise. The estimated amplitude of a sinusoidal vortex signal is used as a secondary means to determine the fluid flow based on vortex sensor characteristics. The original amplitude of the sinusoidal vortex signal is determined from a clipped voltage amplitude sinusoidal signal. The estimated velocity of the fluid in a pipe based on the original amplitude of the sinusoidal vortex signal is compared to the measured velocity of the fluid based on vortex velocity frequency. If the two determined velocities do not reasonably agree, the measured vortex signal is not a valid flow signal and adaptive filters are adjusted to reduce the effects of noise.

Abstract: A single pump control system monitors and controls oil and gas production operations at multiple wells. The pump control system analyzes operation data from multiple well pumps to independently and concurrently control operation of each well pump. The system obtains the operation data from sensors mounted at suitable locations around the wells. The data is then processed by pump control algorithms in the pump control system, each control algorithm applicable to and operable on a separate well pump. The pump control algorithms determine whether a well pump should be started, stopped, continue to run, and an optimal speed at which each running pump should run to maintain a cost-effective operation. Such an arrangement allows a single pump control system to automatically and independently control multiple different well pumps to optimize oil and gas production at each well.

Abstract: In a Boundaryless Control High Availability (“BCHA”) system (e.g., industrial control system) comprising multiple computing resources (or computational engines) running on multiple machines, technology for computing in real time the overall system availability based upon the capabilities/characteristics of the available computing resources, applications to execute and the distribution of the applications across those resources is disclosed. In some embodiments, the disclosed technology can dynamically manage, coordinate recommend certain actions to system operators to maintain availability of the overall system at a desired level. High Availability features may be implemented across a variety of different computing resources distributed across various aspects of a BCHA system and/or computing resources. Two example implementations of BCHA systems described involve an M:N working configuration and M:N+R working configuration.

Abstract: Capturing messages exchanged with field devices in an industrial process without disrupting communication of the messages. A diagnostic driver embedded within a gateway device detects abnormal conditions in connections between the gateway device and the field devices. The diagnostic driver captures messages indicative of the abnormal condition without disrupting message communication. The driver is capable of transmitting captured messages, on demand, to a workstation computing device for diagnosis of the abnormal condition.

Abstract: A system for improving production of a process control system comprises a processor, sensors connected to one or more assets in the process control system, human-machine interfaces, and a storage memory storing instructions for execution on the processor. The system receives process data via the sensors and determines an input cost of the one or more assets and an output value of the one or more assets. The system provides a net production value of the one or more assets based on the determined input cost and output value. The system stores the input cost, output value, and net production value on a storage memory and provides the input cost, output value, and net production value along with critical asset performance information of asset value, asset performance and opportunity costs for each asset and asset set in the operation to a user via the human-machine interfaces.

Abstract: Methods and Systems are described for control at/of a network node. The network node can include a control module and first and second modules coupled to the control module. The first module can be configured to select first input/output (I/O) types of a field device coupled at an I/O interface of the network node. The second module can be configured to select a second I/O types of the field device. The first and second modules can be coupled to the I/O interface through a field device coupler.

Abstract: A configuration tool is for a vortex flowmeter having a flowtube, a bluff body positioned in the flowtube for shedding vortices in the fluid, and a pressure sensor configured to obtain a signal indicative of a time-varying fluid pressure having an oscillation associated with the vortices. The configuration tool includes a processor that determines a type of fluid flowing through the flowtube based on the amplitude of the oscillation. The processor sets a fluid-type setting of the vortex meter to match the determined type of fluid. An alarming system for a control system including such a flowmeter includes a processor that assesses a density of a fluid flowing through the flowtube based on the amplitude and compares the assessed density to a fluid density configuration setting. The processor activates an alarm if the difference between the assessed density and the fluid density configuration setting exceeds a threshold.

Abstract: High availability and data migration in a distributed process control computing environment. Allocation algorithms distribute data and applications among available compute nodes, such as controllers in a process control system. In the process control system, an input/output device, such as a fieldbus module, can be used by any controller. Databases store critical execution information for immediate takeover by a backup compute element. The compute nodes are configured to execute algorithms for mitigating dead time in the distributed computing environment.

Abstract: A system for metering flow of a fluid has a vibratable flowtube for receiving a multiphase fluid flow. A driver is configured to vibrate the flowtube. A pair of sensors is configured to detect movement of the flowtube at different locations on the flowtube. Pressure and temperature sensors are configured to measure a pressure of the fluid. One or more processors are configured to use a phase difference between the sensor signals to determine a fluid flow rate through the flowtube. The one or more processors are further configured to determine an amount of dissolved gas in the multiphase fluid using the pressure, the temperature, and the relative amounts the multiple liquids in the multiphase fluid.

Abstract: Motion is induced in a conduit such that the conduit vibrates in a major mode of vibration having a major amplitude and a minor mode of vibration having a minor amplitude. The major amplitude is larger than the minor amplitude, the major mode of vibration has a first frequency of vibration and the minor mode of vibration has a second frequency of vibration, and the minor mode of vibration interferes with the major mode of vibration to cause a beat signal having a frequency related to the first frequency of vibration and the second frequency of vibration. The frequency of the beat signal is determined, and the second frequency of vibration is determined based on the determined frequency of the beat signal.

Abstract: A system for metering flow of a fluid has a vibratable flowtube for receiving a multiphase fluid flow. A driver is configured to vibrate the flowtube. A pair of sensors is configured to detect movement of the flowtube at different locations on the flowtube. Pressure and temperature sensors are configured to measure a pressure of the fluid. One or more processors are configured to use a phase difference between the sensor signals to determine a fluid flow rate through the flowtube. The one or more processors are further configured to determine an amount of dissolved gas in the multiphase fluid using the pressure, the temperature, and the relative amounts the multiple liquids in the multiphase fluid.