An infrastructure monitoring assembly includes a nozzle cap defining an internal cavity; an antenna positioned at least partially external to the internal cavity; and the antenna covered with a non-metallic material. An infrastructure monitoring assembly includes a nozzle cap defining a first end and a second end, the first end defining a threaded bore configured to mount on a nozzle of a fire hydrant; a cover coupled to the nozzle cap opposite from the first end; an enclosure positioned at least partially between the cover and the first end, the enclosure at least partially defining a cavity; a monitoring device positioned within the cavity; and an antenna positioned between the cover and the first end of the nozzle cap, the antenna connected in electrical communication with the monitoring device, the antenna covered by a non-metallic material.

An infrastructure monitoring assembly includes a nozzle cap defining an internal cavity; an antenna positioned at least partially external to the internal cavity; and the antenna covered with a non-metallic material. An infrastructure monitoring assembly includes a nozzle cap defining a first end and a second end, the first end defining a threaded bore configured to mount on a nozzle of a fire hydrant; a cover coupled to the nozzle cap opposite from the first end; an enclosure positioned at least partially between the cover and the first end, the enclosure at least partially defining a cavity; a monitoring device positioned within the cavity; and an antenna positioned between the cover and the first end of the nozzle cap, the antenna connected in electrical communication with the monitoring device, the antenna covered by a non-metallic material.

A system for forecasting leaks in a fluid-delivery pipeline network. The system identifies a subsystem in the pipeline network that comprises a plurality of topologically connected stations. The system accesses historical temporal sensor measurements of a plurality of variables of the stations that are directly connected and generates a temporal causal dependency model for a first control variable at the first station in the subsystem, based on the plurality of time series of sensor measurements of a second variable of the first station, and temporal delay characteristics of the plurality of time series of sensor measurements of the second variable at the stations directly connected to the first station. The system automatically calculates a normal operating value of the first control variable at the first station and the deviations between actual measured values and the normal operating value and determines a threshold deviation that indicates a leak event.

A system for forecasting leaks in a fluid-delivery pipeline network. The system identifies a subsystem in the pipeline network that comprises a plurality of topologically connected stations. The system accesses historical temporal sensor measurements of a plurality of variables of the stations that are directly connected and generates a temporal causal dependency model for a first control variable at the first station in the subsystem, based on the plurality of time series of sensor measurements of a second variable of the first station, and temporal delay characteristics of the plurality of time series of sensor measurements of the second variable at the stations directly connected to the first station. The system automatically calculates a normal operating value of the first control variable at the first station and the deviations between actual measured values and the normal operating value and determines a threshold deviation that indicates a leak event.

The embodiments of the present disclosure disclose an evaluation apparatus and a method for seal integrity of a wellbore in a full life cycle. The apparatus may include an oil pipe temperature and pressure simulation assembly, an oil casing annular temperature and pressure simulation assembly, a formation confining pressure simulation assembly, a casing-cement sheath-formation combination preparation assembly, a blowby characteristic detection assembly, and a monitoring system. The present disclosure may crustal stress quickly complete scanning of cement slurry system and maintenance and preparation of casing-cement sheath-formation combination, intelligent monitor blowby pressure of cement sheath in real time, test the critical blowby pressure curve of cement sheath of oil and gas wells under various production conditions throughout the life cycle for evaluating the seal integrity of wellbore, and provide technical support for the formulation of wellbore safeguard measures.

An automated method of pipeline sensor integration for product mapping of a pipeline network is provided. The method includes acquiring, by a plurality of sensors of the pipeline network, first sensor responses of a pipeline in the pipeline network when a first hydrocarbon product is flowing through the pipeline. The method further includes using a prediction circuit to receive the acquired first sensor responses, integrate the received first sensor responses into one or more integrated first sensor responses in order to improve accuracy of the received first sensor responses, and identify the first hydrocarbon product in the pipeline based on the integrated first sensor responses. The prediction circuit is built from training data using a machine learning process. The training data includes first training sensor responses of the pipeline by the plurality of sensors acquired at a previous time when the first hydrocarbon product was flowing through the pipeline.

An automated method of pipeline sensor integration for product mapping of a pipeline network is provided. The method includes acquiring, by a plurality of sensors of the pipeline network, first sensor responses of a pipeline in the pipeline network when a first hydrocarbon product is flowing through the pipeline. The method further includes using a prediction circuit to receive the acquired first sensor responses, integrate the received first sensor responses into one or more integrated first sensor responses in order to improve accuracy of the received first sensor responses, and identify the first hydrocarbon product in the pipeline based on the integrated first sensor responses. The prediction circuit is built from training data using a machine learning process. The training data includes first training sensor responses of the pipeline by the plurality of sensors acquired at a previous time when the first hydrocarbon product was flowing through the pipeline.

Systems, methods, and a computer readable medium are provided for monitoring and detecting a gas emission. Sensor data including gas concentration and wind data associated with a gas emission from an emission source is received from Near-Field and Far-Field sensors configured within a gas production and distribution environment. The sensor data can be provided as inputs to a Near-Field dispersion model to determine an emission rate associated with the gas emission and one or more source locations associated with the gas emission. The emission rate can be included in emission data and provided for output. Related apparatus, systems, techniques, and articles are also described.

A facemask configured to be used by multiple sized/shaped heads can include a primary, a secondary and a tertiary seal. In some embodiments, the primary seal is contact with the nose and cheek regions; the secondary seal is in contact with the chin region; and the tertiary seal is in contact with the cheek and chin regions. In some embodiments, the tertiary seal extends inwardly and outwardly when applied to the face. In some embodiments, the mask includes test scissors.

An infrastructure monitoring assembly includes a housing mountable on a fire hydrant of an infrastructure system; and a sensor coupled to the housing, the sensor configured to sense at least one condition of a fluid within the infrastructure system. An infrastructure monitoring system includes a fire hydrant of an infrastructure system; a housing mountable on the fire hydrant of the infrastructure system; and a sensor coupled to the housing, the sensor configured to sense at least one condition of a fluid within the infrastructure system.