Abstract: A system for oil and gas production includes a drilling, pipeline, or power quality equipment, a sensor, and a storage device having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations. The operations include receiving first data from the sensor, determining whether the drilling, pipeline, or power quality equipment is experiencing an event condition based on the first data, generating one or more potential corrective actions, identifying a first corrective action of the one or more potential corrective actions, and controlling a fluid transfer device to implement the first corrective action. The first corrective action includes at least one of increasing a drive frequency of the fluid transfer device, adjusting a choke position of the fluid transfer device, or reversing a rotational direction of an impeller of the fluid transfer device.

Abstract: A system for oil and gas production includes a drilling, pipeline, or power quality device, a sensor, and a storage device. The storage device has instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations. The operations include receiving first data from the sensor. The operations include determining whether the device is experiencing an event condition based on the first data The operations include generating one or more potential corrective actions responsive to a determination that the device is experiencing the event condition. The operations include calculating a reward value for each of the one or more potential corrective actions. The operations include identifying a first corrective action of the one or more potential corrective actions with a largest or most positive reward value The operations include controlling the device according to the first corrective action.

Abstract: A method can include receiving time series data acquired during equipment operations at a plurality of natural resource sites; detecting operational events using the time series data; ranking the operational events; associating each of the operational events with a corresponding operational action; and outputting at least a portion of the ranked operational events, each with its corresponding operational action.

Abstract: A method for detecting events includes receiving measurements from a plurality of sensors, and executing a machine learning model trained to identify events based on the measurements. The machine learning model identifies the events based on the measurements. The method also includes determining based on the measurements and the identified events that training applied to the machine learning model is to be modified. A modified training data set is generated based on the measurements and an initial training data set used to train the machine learning model to identify the events. The modified training data set is applied to retrain the machine learning model.

Abstract: A system for producing a wellbore fluid including a process fluid source, a rotating apparatus, and a motor directly coupled to the rotating apparatus. The motor is configured to receive a coolant and transfer heat from the motor to the coolant. The rotating apparatus is configured to receive process fluid from the process fluid source and mix the process fluid received from the process fluid source with one or more additives to produce a wellbore fluid. The coolant transfers heat to the process fluid, the wellbore fluid or both.

Abstract: A liquid additive mixing apparatus is provided that has a plurality of chambers containing additives, as well as a system for mixing the additives. One or more additives are mixed with water to form a mixing fluid. The mixing fluid is placed in a first tank that is fluidly connected to a cement mixing unit. A cementing operation is executed during which the mixing fluid from the first tank is mixed with a cement to form a slurry. A capillary electrophoresis (CE) instrument is employed to monitor at least one additive parameter and detect deviations from a predetermined tolerance for the at least one additive parameter.

Abstract: A system, method, and computer-readable medium for determining the flow rate and fluid density in an electrical submersible pump (ESP) and controlling the ESP based on the flow rate and density. In one implementation, an ESP system includes an ESP, drive circuitry, a current sensor, a voltage sensor, and a processor. The ESP includes an electric motor. The drive circuitry is electrically coupled to the ESP and is configured to provide an electrical signal to power the ESP. The current sensor is configured to measure a current of the electrical signal. The voltage sensor is configured to measure a voltage of the electrical signal. The processor is configured to calculate speed of a shaft of the electric motor based on a frequency induced by rotation of the motor detected in the current. The processor is also configured to calculate a density of fluid in the ESP based on the speed.

Abstract: A liquid additive mixing apparatus is provided that has a plurality of chambers containing additives, as well as a system for mixing the additives. One or more additives are mixed with water to form a mixing fluid. The mixing fluid is placed in a first tank that is fluidly connected to a cement mixing unit. A cementing operation is executed during which the mixing fluid from the first tank is mixed with a cement to form a slurry. A capillary electrophoresis (CE) instrument is employed to monitor at least one additive parameter and detect deviations from a predetermined tolerance for the at least one additive parameter.

Abstract: A system, method, and computer-readable medium for determining the flow rate and fluid density in an electrical submersible pump (ESP) and controlling the ESP based on the flow rate and density. In one implementation, an ESP system includes an ESP, drive circuitry, a current sensor, a voltage sensor, and a processor. The ESP includes an electric motor. The drive circuitry is electrically coupled to the ESP and is configured to provide an electrical signal to power the ESP. The current sensor is configured to measure a current of the electrical signal. The voltage sensor is configured to measure a voltage of the electrical signal. The processor is configured to calculate speed of a shaft of the electric motor based on a frequency induced by rotation of the motor detected in the current. The processor is also configured to calculate a density of fluid in the ESP based on the speed.

Abstract: A monitoring system operable to monitor an oilfield additive system having multiple components. The oilfield additive system is operable to transfer an additive-containing substance for injection into a wellbore. The monitoring system includes sensors each associated with, and operable to generate information related to an operational parameter of, a corresponding one of the oilfield additive system components. The monitoring system also includes a monitoring device in communication with the sensors and operable to record the information generated by the sensors to generate a database. The database includes information indicative of maintenance aspects of the oilfield additive system and/or the oilfield additive system components.

Abstract: A substantially continuous stream of aqueous fluid and a substantially continuous stream of gel having a first concentration are combined to form a substantially continuous stream of gel having a second concentration. The second concentration is substantially lower than the first concentration. The gel having the second concentration may thereafter be utilized in conjunction with a well fracturing operation.

Abstract: A system for producing a wellbore fluid including a process fluid source, a rotating apparatus, and a motor directly coupled to the rotating apparatus. The motor is configured to receive a coolant and transfer heat from the motor to the coolant. The rotating apparatus is configured to receive process fluid from the process fluid source and mix the process fluid received from the process fluid source with one or more additives to produce a wellbore fluid. The coolant transfers heat to the process fluid, the wellbore fluid or both.

Abstract: A system for producing a wellbore fluid including a process fluid source, a rotating apparatus, and a motor directly coupled to the rotating apparatus. The motor is configured to receive a coolant and transfer heat from the motor to the coolant. The rotating apparatus is configured to receive process fluid from the process fluid source and mix the process fluid received from the process fluid source with one or more additives to produce a wellbore fluid. The coolant transfers heat to the process fluid, the wellbore fluid or both.

Abstract: A substantially continuous stream of aqueous fluid and a substantially continuous stream of gel having a first concentration are combined to form a substantially continuous stream of gel having a second concentration. The second concentration is substantially lower than the first concentration. The gel having the second concentration may thereafter be utilized in conjunction with a well fracturing operation.

Abstract: A method for detecting events includes receiving measurements from a plurality of sensors, and executing a machine learning model trained to identify events based on the measurements. The machine learning model identifies the events based on the measurements. The method also includes determining based on the measurements and the identified events that training applied to the machine learning model is to be modified. A modified training data set is generated based on the measurements and an initial training data set used to train the machine learning model to identify the events. The modified training data set is applied to retrain the machine learning model.

Abstract: A system for oil and gas production includes a drilling, pipeline, or power quality device, a sensor, and a storage device having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations including receiving first data from the sensor, determining whether the device is experiencing an event condition based on the first data, generating one or more potential corrective actions responsive to a determination that the device is experiencing the event condition, calculating a reward value for each of the one or more potential corrective actions, identifying a first corrective action of the one or more potential corrective actions with a largest or most positive reward value, and controlling the device according to the first corrective action.

Abstract: A system, method, and computer-readable medium for determining the flow rate and fluid density in an electrical submersible pump (ESP) and controlling the ESP based on the flow rate and density. In one implementation, an ESP system includes an ESP, drive circuitry, a current sensor, a voltage sensor, and a processor. The ESP includes an electric motor. The drive circuitry is electrically coupled to the ESP and is configured to provide an electrical signal to power the ESP. The current sensor is configured to measure a current of the electrical signal. The voltage sensor is configured to measure a voltage of the electrical signal. The processor is configured to calculate speed of a shaft of the electric motor based on a frequency induced by rotation of the motor detected in the current. The processor is also configured to calculate a density of fluid in the ESP based on the speed.

Abstract: A method can include receiving time series data acquired during equipment operations at a plurality of natural resource sites; detecting operational events using the time series data; ranking the operational events; associating each of the operational events with a corresponding operational action; and outputting at least a portion of the ranked operational events, each with its corresponding operational action.

Abstract: A liquid additive mixing apparatus is provided that has a plurality of chambers containing additives, as well as a system for mixing the additives. One or more additives are mixed with water to form a mixing fluid. The mixing fluid is placed in a first tank that is fluidly connected to a cement mixing unit. A cementing operation is executed during which the mixing fluid from the first tank is mixed with a cement to form a slurry. A capillary electrophoresis (CE) instrument is employed to monitor at least one additive parameter and detect deviations from a predetermined tolerance for the at least one additive parameter.

Abstract: Apparatus and methods for energizing well operations fluids, including a fluid energizing device directly or operatively connected between first and second conduits. The fluid energizing device includes a chamber. A first fluid enters the chamber from the first conduit, and a second fluid enters the chamber from the second conduit and energizes the first fluid within the chamber. A third conduit conducts the energized first fluid from the chamber to a wellhead.