A system for monitoring a piece of hydraulic fracturing equipment such as a positive displacement pump. The system includes a plurality of sensors configured to detect conditions of the hydraulic fracturing pump and a processor that is communicatively coupled to the plurality of sensors and configured to analyze data received from the plurality of sensors. The processor is also configured to predict faults in the hydraulic fracturing pump based on the data analysis. The system also includes a communication interface that is configured for transmitting predicted fault data to one or more devices.

Apparatus and methods for determining operational health of a pump. An example method may include commencing operation of a processing device to monitor operational health of a pump for pumping a fluid at a wellsite, wherein the pump may be a reciprocating pump. During pumping operations of the pump, the processing device may receive pressure measurements of the fluid at a fluid inlet manifold and/or a fluid outlet manifold of the pump, receive position measurements of fluid displacing members of the pump, detect irregular pressure measurements based on the received pressure measurements, determine operational phase of the pump based on the received position measurements, and determine which of fluid inlet and outlet valves of the pump is leaking based on operational phase during which the irregular pressure measurements are detected.

Described herein is a method for identifying damage on a compressor having an intake side and a discharge side, including the following steps: (i) detecting measurement data of the intake pressure (p1) and intake temperature (T1) measurement variables on the intake side, as well as end pressure (p2) and end temperature (T2) on the discharge side; (ii) determining a calculated end temperature (T2b), a calculated intake temperature (T1b), a calculated end pressure (p2b) or a calculated intake pressure (p1b) as a target variable, representing a good operating state of the compressor, as a function of the measurement data of max. three of the measurement variables (p1, T1, p2, T2); (iii) determining a comparison variable from at least one of the measurement variables (p1, T1, p2, T2) not used in step (ii); and (iv) comparing the comparison variable and the target variable as a gauge of damage to the compressor.

A motor of an electric submersible pump (ESP) is positioned in a wellbore. Measured data is received from one or more sensors. A first deep learning model running on a motor controller of the ESP determines first operating parameters or first operating conditions for the ESP based on the measured data. The motor controller sends the first operating parameters or first operating conditions to a centralized computer system. A second deep learning model running on the centralized computer system determines second operating parameters or second operating conditions associated with the ESP based on the first operating parameters or first operating conditions. The centralized computer system sends the second operating parameters or second operating conditions to the motor controller. The motor controller adjusts operation of the motor of the ESP based on the second operating parameters or second operating conditions.

In accordance with at least one aspect of this disclosure, a variable displacement pump system can include, a variable displacement pump disposed in a main line and configured to supply pressure to receive a low pressure fluid and to output a high pressure fluid. The main line can connect a hydraulic fluid source to a plurality of system actuators, where the variable displacement pump is disposed in the main line between the hydraulic fluid source and the plurality of system actuators to pressurize the hydraulic fluid.

A variable positive displacement pump actuator system for a variable positive displacement pump can include a supply line configured to provide a supply pressure, a main pump line configured to provide a pump pressure greater than the supply pressure from the variable positive displacement pump, and at least one electro-hydraulic servo valve (EHSV) in fluid communication with the supply line and the main pump line to receive the supply pressure and the pump pressure. The at least one electro-hydraulic servo valve can be configured to output a first regulated pressure and a second regulated pressure. The system can include a first control line in fluid communication with at least one of the at least one EHSV to receive the first controlled pressure, a second control line in fluid communication with at least one of the at least one EHSV to receive the second controlled pressure, a first hydraulic actuator configured to connect to and/or otherwise actuate a lever arm of the variable positive displacement pump, the first hydraulic actuator in fluid communication with the first control line and the supply line to receive the first control pressure and the supply pressure to control a position of the first hydraulic actuator, and a second hydraulic actuator configured to connect to and/or otherwise actuate the lever arm of the variable positive displacement pump, the second hydraulic actuator in fluid communication with the second control line and the supply line to receive the second control pressure and the supply pressure to control a position of the second hydraulic actuator.

A fluid circulation monitoring system includes a distributed processing system having a first processor located on-premises near a space filled with a circulating fluid and a second processor located off-premises. The first processor and the second processor are in communication with one another. A sensor is operatively connected to the first processor and senses at least one parameter associated with a flow rate of fluid through the circulation system. The distributed processing system is configured to process the at least one parameter and derive a volumetric fluid flow rate through a fluid pump which propels the fluid through the circulation system. Pattern recognition is applied to the at least one parameter to detect maintenance events and predict the need for maintenance events.

An information processing system includes a terminal apparatus that sends the received machine-type identification information and state history information received from the monitoring target apparatus by near field communication, an information processing apparatus that receives the machine-type identification information and the state history information from the terminal apparatus, and a storage apparatus that accumulates machine-type identification information identifying a machine type of a monitoring target apparatus and normal-state history information in an associated manner. When the information processing apparatus receives the machine-type identification information and state history information about a certain monitoring target apparatus from the terminal apparatus, the information processing apparatus compares the normal-state history information accumulated in the storage apparatus in association with the machine-type identification information and the received state history information, judges whether an operation state of the monitoring target apparatus is normal, and sends a judgment result to the terminal apparatus.

An electric submersible pump (ESP) monitoring system is described herein. The ESP monitoring system includes a base monitoring unit and a discharge monitoring unit that are communicably coupled via a ground path. The discharge monitoring unit is hydraulically coupled to the pump discharge and is configured to measure a discharge parameter relating to the pump discharge and transmit data corresponding to the discharge parameter to the base monitoring unit via the ground path. The base monitoring unit is electrically connected to the motor of the ESP system and is configured to measure a base parameter relating to the motor and/or the pump intake, receive the transmitted data corresponding to the discharge parameter from the discharge monitoring unit, combine the data corresponding to the discharge parameter and the data corresponding to the base parameter, and transmit the combined data to an ESP surface unit via an ESP power cable.

A pumping system for use in a well stimulation application includes a pump controlled by a controller, the controller operating to monitor operation of the pump and determine when cavitation is present or imminent in the pump. When cavitation is present, the controller automatically adjusts an operating condition of the pump reduce pump speed or increase a fluid pressure at the pump inlet.