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 can control a transmission of a pressure signal subsea into a flowline comprising a fluid. The system can receive sensor data indicating one or more properties of a first reflection signal corresponding to the pressure signal in the flowline. The system can adjust a model based on the one or more properties of the first reflection signal. The model can be configured for determining a presence of a material deposition in the flowline. The system can determine, based on a second reflection signal and the adjusted model, a presence of the material deposition in the flowline. The system can output a command configured to initiate a remediation operation to reduce the material deposition in the flowline.

A system can control a transmission of a pressure signal subsea into a flowline comprising a fluid. The system can receive sensor data indicating one or more properties of a first reflection signal corresponding to the pressure signal in the flowline. The system can adjust a model based on the one or more properties of the first reflection signal. The model can be configured for determining a presence of a material deposition in the flowline. The system can determine, based on a second reflection signal and the adjusted model, a presence of the material deposition in the flowline. The system can output a command configured to initiate a remediation operation to reduce the material deposition in the flowline.

The embodiments of the present disclosure provide a method for smart gas pipeline network inspection, implemented on a smart gas pipeline network security management platform based on an Internet of Things system for smart gas pipeline network inspection, and the method comprising: obtaining a gas pipeline network distribution; determining at least one inspection sub-area based on the gas pipeline network distribution; determining, based on the at least one inspection sub-area, an inspection plan for each of the at least one inspection sub-area, the inspection plan at least including an inspection frequency.

A flow diverter comprises a surface to divert fluid flow within oil and gas wellbore equipment exposed to flows of abrasive, corrosive, or otherwise deleterious fluids, such as those used in hydraulic fracturing. The diverter may comprise a concave surface used to limit damage to surfaces within components used to connect a frac manifold to a frac tree or to prevent the flow of fracturing fluid from a frac manifold to a frac tree.

A flow diverter comprises a surface to divert fluid flow within oil and gas wellbore equipment exposed to flows of abrasive, corrosive, or otherwise deleterious fluids, such as those used in hydraulic fracturing. The diverter may comprise a concave surface used to limit damage to surfaces within components used to connect a frac manifold to a frac tree or to prevent the flow of fracturing fluid from a frac manifold to a frac tree.

A method for monitoring a pipeline temperature management system includes communicating, via a management console, with a controller of the pipeline temperature management system, where the controller is configured to obtain temperature data from sensors of the pipeline and control application of heat to sections of the pipeline. The method also includes displaying, via a user interface of the management console, a current state of the pipeline based on information from the controller, receiving an alarm notification based on the temperature data, and displaying the alarm notification via the user interface.

The present disclosure provides a method for smart gas pipeline frost heave safety management and an Internet of Things system. The method includes: obtaining gas transmission data and gas pipeline data and determining gas pressure change data of a target point based on the gas transmission data and gas pipeline data; predicting temperature change data of the target point based on the gas pressure change data, the temperature change data including gas temperature change data and soil temperature change data; predicting, based on the temperature change data, the gas pipeline data, and the gas pressure change data, and in combination with environmental data, a frost heave degree data of the target point; and determining, based on the frost heave degree data of the target point, the gas transmission adjustment data and a frost heave prevention plan.

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.

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.