Systems/methods for real-time monitoring and control of a well site provide an event monitor and detector for progressing cavity pump (PCP) operations at the well site. The event monitor and detector uses machine learning (ML) based anomaly detection to detect operations that fall outside normal PCP operating space. The event monitor and detector then computes novelty scores for the anomalies and checks whether the novelty scores exceed a threshold novelty score. If the number of novelties detected within a given detection window exceeds a minimum threshold count, then the event monitor and detector flags an “event” and automatically responds accordingly. The event monitor and detector also provides an explanation with the alerts that quantifies the extent to which various PCP parameters contributed to the event. The event monitor and detector further performs drift detection to determine whether an event may be due to operator-initiated adjustments to PCP parameters.

System/method for real-time monitoring and control of pump operations at a well provide a pump control system that uses pump fillage with a proportional-integral-differential (PID) based algorithm to control positive displacement pump operations. The pump control system/method obtains measured or inferred pump speed from available pump speed data and, using certain pump characteristics provided by the well operator, calculates a theoretical fluid flow rate based on the pump speed. The pump control system/method thereafter compares the calculated theoretical fluid flow rate to a measured or observed fluid flow rate to calculate a pump fillage. The calculated pump fillage is then provided as a process input to the PID based algorithm along with a desired pump fillage from the well operator. The PID based algorithm processes the calculated pump fillage and the desired pump fillage using tuning parameters to determine an optimum pump speed based on the desired pump fillage.

An automatic self-driving pump system features a pump/motor/drive detector and an automatic self-driving and control design/setup module. In operation, the pump/motor/drive detector receives sensed signaling containing information about a pump/drive for operating in a hydronic pump system, e.g., stored in and sensed from a signature chip or barcode installed that can be scanned by a scanner, and provides corresponding database signaling containing information about parameters for providing automatic pump control design, setup and run to control the pump/drive for operating in the hydronic pump system, based upon the sensed signaling received. The automatic self-driving and control design/setup module receives the corresponding database signaling, and provides control signaling containing information for providing the automatic pump control design, setup and run to control the pump/drive for operating in the hydronic pump system, based upon the corresponding database signaling received.

Introduced herein are a dimensionless relationship between a volumetric flow rate, a head and a kinematic viscosity in a pump operation and a method that uses the dimensionless relationship to predict a viscous performance of a pump from water performance characteristics. Using the introduced dimensionless relationship, which is called Ketan's viscous head number, the introduced method determines a viscous head correlation that allows the prediction of the pump performance to be made accurately at any given speed, flow rate and viscosity. The introduced Ketan's viscous head number and method thus allow a prediction of a pump performance in a viscous application to be made from water performance characteristics without physically testing the pump in the viscous application.

Various embodiments described herein relate to an anomaly detection framework adaptable to different asset types. In this regard, a data stream associated with a first asset is received. The data stream is then processed to generate output data by encoding the data stream based on historical data associated with the first asset, the historical data comprising clustered data representative of fault states and one or more non-fault states. Furthermore, in accordance with a determination that the generated output data is indicative of a potential fault of the first asset, fault data indicative of the potential fault is generated and caused to be transmitted to an administrative device for display.

An air compressor includes: a motor actuating a mechanism to generate compressed air; a tank part in which the compressed air is stored; a pressure detector detecting a pressure value in the tank part; and a controller driving the motor when the pressure value is equal to or smaller than an ON pressure value and to stop drive of the motor when the pressure value is equal to or greater than an OFF pressure value. The controller executes processing for detecting a continuous drive time or a continuous stop time of the motor and changing at least one of the ON pressure value, the OFF pressure value and an output of the motor, and the controller detects a change amount of the pressure value, and to determine an execution cycle of the processing or a change amount of a value in the processing, based on the detected change amount.

A hydraulic system includes a hydraulic pump and a motor configured to drive the hydraulic pump. A sensor measures motor speed. A controller includes a model configured to determine system parameters based on the measured motor speed, and the controller is configured to output control signals to the motor and a fan based on the determined system parameters.

A processing chamber is connected to a lock chamber. For evacuating the lock chamber and/or the processing chamber a vacuum pump system is provided. The latter comprises a vacuum pump equipment having at least one vacuum pump. Further, the vacuum pump system comprises a valve device for connection to the lock chamber as well as a controller. For noise reduction, a cyclically occurring operating parameter is determined by means of the controller. From said parameter it is determined at which point in time the valve is opened such that temporally before the opening of the valve the rotational speed of at least one of the vacuum pumps can be reduced. This results in a considerable noise reduction at continuing good pump-out times.

In some implementations, a controller may obtain a setting for a maximum discharge pressure associated with a fluid pump that is to be allowed during a hydraulic fracturing operation. The fluid pump may be driven by a motor that is controlled by a variable frequency drive (VFD). The controller may determine a maximum torque for the motor that achieves the maximum discharge pressure. The controller may cause, via the VFD, adjustment to a speed of the motor to maintain a torque of the motor at or below the maximum torque for the motor.

A self-regulating fire pump unit which can be controlled to operate under required conditions for sourcing a fire protection system such as sprinklers. The fire pump unit can be operated in accordance with a control curve based on detected pressure and flow. The control curve can include: a) a first setpoint of rated total value of the system load for the pressure and the flow, b) a second setpoint of a minimum partial percentage of the rated total value of the pressure at an over-percentage of the rated total value of the flow, c) a path which maintains the rated total value of the pressure for all values of the flow up to the first setpoint, d) a path between the first setpoint and the second setpoint, e) a path from the second setpoint which limits values of the pressure for values of the flow greater than the second setpoint.