A pump control system and an abnormal processing and recovering method thereof are disclosed. The pump control system includes a pump; a motor mechanically connected to the pump; and a driving controller electrically coupled to the motor, and the driving controller configured to control a speed of the motor. The driving controller controls the speed of the motor to be varied in a multistage manner in response to an abnormal triggering event, so as to recover the pump control system to an originally set stable state. The abnormal triggering event is generated by at least one physical parameter when the pump control system is operated.

An inflator includes an inflator housing, a pressure sensor operable to generate a pressure signal related to an outlet pressure of the inflator, a motor within the inflator housing, a battery pack removably coupleable to the inflator housing, and a controller electrically coupled to the motor and the battery pack. The controller is configured to receive the pressure signal from the pressure sensor, determine a rate of pressurization change based on the pressure signal, determine a static pressure value based on the rate of pressurization change, and determine a motor time delay based on a target pressure value, the static pressure value, and the rate of pressurization change. The controller is also configured to generate a control signal when the motor time delay substantially equals zero. The control signal is operable to cause power to the motor to be turned off to stop a pressurization condition of the inflator.

An apparatus and method for controlling an electric oil pump with a pump control signal generated by an electronic control unit (ECU) of a vehicle. The pump control signal has a variable drive time portion during which the electric oil pump is actuated to supply oil to an engine of the vehicle and a variable cycle time defining a frequency of the pump control signal.

Embodiments of the present disclosure include a motor controller with a processor and a machine readable medium. The medium includes instructions that, when loaded and executed by the processor, cause the processor to receive an estimated or sensed speed of a motor, extract a mechanical frequency component from the estimated or sensed speed, transform the mechanical frequency into direct quadrature (DQ) domain at the mechanical frequency, control the mechanical frequency to zero, and generate a dampening signal for torque based upon the controlled mechanical frequency.

A wellbore servicing method comprising transporting a pump unit comprising a unit controller and pumping equipment to a wellsite. Executing a design process on the unit controller to determine a concentration of a wellbore treatment fluid at a wiper plug within an oilfield tubular. The design process utilizes a CFD model to generate a static mesh representative of the geometry of the oilfield tubular, locate the wiper plug within the static mesh, and determine a fluid velocity on each side of the wiper plug with flexible static mesh cells. The CFD model can generate a prediction of the concentration of the wellbore treatment fluids in response to the wiper plug reaching a target location within the oilfield tubular.

A computer implemented method of predicting a future maintenance event of a pumping equipment on a wellbore pumping unit comprising loading a pump usage log and a pump maintenance log into a predictive maintenance model. The predictive maintenance model is trained by a machine learning process with a historical database of completed pumping jobs. The predictive maintenance model determines a probability of a future maintenance event in response to the current pump usage. The unit controller displays an alert of the remaining pump life in comparison to a threshold value for a recommended pump maintenance period or a required pump maintenance period.

A method of driving a pump is used in a pressure-applying apparatus, the apparatus including a flow passage, a pump configured to impart pressure into the flow passage, an opening and closing valve configured to open and close the flow passage, a pressure detector configured to detect pressure in the flow passage, and an atmospheric air open valve configured to open an interior of the flow passage to atmospheric air. The method includes driving the pump after closing the opening and closing valve and opening the atmospheric air open valve, and evaluating a state of the pump, based on one of: the pressure detected by the pressure detector at a time at which a predetermined time period has elapsed after closing the atmospheric air open valve, and a time from closing of the atmospheric air open valve until detection of a predetermined pressure by the pressure detector.

A downhole dynamometer for a rod pumping unit is provided. The downhole dynamometer includes a shell within which a plurality of sensors, a non-transitory memory, and a dynamometer controller are located. The shell is configured to be coupled to a sucker rod string of the rod pumping unit and disposed in a well opposite a wellhead of the well. The plurality of sensors is configured to measure downhole accelerations of the sucker rod string and to measure a downhole load on the sucker rod string. The dynamometer controller is coupled to the plurality of sensors and the non-transitory memory. The dynamometer controller is configured to periodically collect measurements from the plurality of sensors and store the measurements in the non-transitory memory.

The present disclosure provides a variable-capacity compressor, a variable-capacity two-stage compression system and a control method thereof. The compression system includes a compressor, wherein the compressor includes a low pressure cylinder and a high pressure cylinder connected in series, wherein the low pressure cylinder includes at least two cylinders connected in parallel. The compression system further includes a control mechanism that can control at least one of the at least two cylinders connected in parallel to perform full-load and/or no-load operation.

A computer implemented method of predicting a future maintenance event of a pumping equipment on a wellbore pumping unit comprising loading a pump usage log and a pump maintenance log into a predictive maintenance model. The predictive maintenance model is trained by a machine learning process with a historical database of completed pumping jobs. The predictive maintenance model determines a probability of a future maintenance event in response to the current pump usage. The unit controller displays an alert of the remaining pump life in comparison to a threshold value for a recommended pump maintenance period or a required pump maintenance period.