Embodiments related to a system and method for detecting and remediating selective seam weld corrosion in conduits such as steel pipes that transport oil and gas products. In particular, a probe detects magnetic flux leakage in at least two orientations. Anomalies in the conduit are then identified and assessed for selective seam weld corrosion based on factors that include the magnetic flux leakage detection and the depth of the anomalies. For certain categories of assessed anomalies, the corresponding portions of the conduit are selectively remediated in accordance with these factors.

The embodiment of the present disclosure provides a method for determining a smart gas inspection plan and an Internet of Things system, the method is implemented based on a smart gas pipeline network safety management platform, including: obtaining an area to be inspected; determining one or more downstream users based on the area to be inspected, and obtaining gas consumption data of each of the one or more downstream users; determining, based on the gas consumption data of the each of the one or more downstream users, peak-valley features of gas consumption at the future time; and determining, based on the peak-valley features of gas consumption at the future time, an inspection time of the area to be inspected.

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

A system, method, and apparatus are provided for estimating a flux of fugitive gas emissions. The method is performed using a gas analyzer coupled to a sampling wand, where gas enters the inlet tip of the sampling wand prior to being sampled by the gas analyzer. The sampling wand is fixed to a mobile device that includes an inertial measurement unit. Location information from the inertial measurement unit is used to compile a high resolution geo-spatial map of gas concentration levels across a cross-sectional area of a gas plume. A near-field Gaussian plume inversion calculation is then performed to estimate the flux based on the gas concentration data and the location information.

A method and an Internet of Things system for corrosion supervision of a gas pipeline are provided. The method includes: obtaining inspection data of a gas pipeline in a gas pipeline network; constructing a first pipeline diagram of the gas pipeline network based on the inspection data; determining a corrosion probability of the gas pipeline based on the first pipeline diagram using a corrosion probability model; determining one or more estimated pipeline corrosion regions based on the corrosion probability of the gas pipeline; obtaining in-depth inspection data of the gas pipeline by performing in-depth inspection on at least one of the estimated pipeline corrosion regions; determining corrosion features of the one or more estimated pipeline corrosion regions based on gas monitoring data and the in-depth inspection data of the gas pipeline; and determining a repair plan based on the one or more estimated pipeline corrosion regions and/or the corrosion features.

The invention provides a device and a method for detecting a leak in a piping system. The device comprises a conduit for transporting a fluid; a shut-off valve mounted onto the conduit; a flowmeter installed in the conduit and configured to measure a flow rate of the fluid in the conduit; a pressure decay detector configured to measure a pressure change of the fluid in the conduit downstream of the valve; and a controller employing a control logic. The controller comprises a central processing unit. Each of the shut-off valve, the flowmeter, the pressure decay detector is in communication with the controller. The control logic employed by the device and the method comprise that only after at least two consecutive pressure decay tests detect pressure drops in the conduit downstream of the shut-off valve while the shut-off valve is closed, it is ascertained the presence of a micro leak in the piping system.

Methods of remotely facilitating the transition between flooding and hydrotesting a subsea pipeline include a control unit of a subsea valve actuation system closing off fluid flow out of the pipeline at the receiving end thereof based at least partially upon one or more signals emitted by at least one intelligent pig that has passed through the pipeline during flooding and without the involvement of an external source at the surface, or a UV, at the pig receiving end of the pipeline.

A shut-off device for a pipe in a pipeline and responsive to ingress of water, has at least two valves for installation in the pipe of the pipeline. Each valve has a valve member supported for movement between an open position when the valve is open for passage of a fluid through the pipe, and a closed position when the valve is closed for preventing passage of the fluid through the valve. The device includes a buoyant member associated with the valve members for causing movement of the valve members to the closed positions upon ingress of water to the buoyant member. The valve members are moved to the closed positions in respective upstream and downstream directions of passage of the fluid through the pipe.

The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for gas loss control based on a smart gas platform. The method is executed by a smart gas device management platform of the IoT system. The method includes: obtaining gas delivery parameters of a preset point in a gas pipeline branch; obtaining gas data corresponding to the gas pipeline branch; determining a gas loss rate of the gas pipeline branch based on the gas delivery parameters and the gas data; and in response to the gas loss rate satisfying a first predetermined condition, adjusting a pressure of a gas pipeline network.

Disclosed is a method and a system for safety management of a gas pipe well based on a smart gas IoT. The method may be executed by a processor and include: obtaining an environmental information sequence of the gas pipe well and an in-well monitoring data sequence by controlling a monitoring component according to a monitoring parameter based on the smart gas IoT, and storing the environmental information sequence and the in-well monitoring data sequence in a storage unit; determining an in-well risk value; adjusting the monitoring parameter in response to determining that the in-well risk value exceeds a risk threshold and updating the in-well risk value; determining an impact degree of a gas component; determining a pipe well inspection program and generating a corresponding pipe well inspection instruction to be sent to an inspection terminal; and adjusting the monitoring parameter and clearing expired data in the storage unit.