A system for pumping lubricant in a gas transportation pipeline includes a pipeline robot and a control terminal system. The pipeline robot includes a lubricant position detection, module, a lubricant pumping module, an electro-hydraulic control system, a data acquisition and processing system, and a lubricant sucking port. The location at which the lubricant deposits can be detected online, and the lubricant staving in the gas transportation pipeline can be removed in real time. The system is highly automatic and efficient. Resistance against the natural as transportation is reduced effectively, the efficiency of transporting the natural gas is improved, and safety of transporting the natural gas is ensured.

The present disclosure provides a fluid flow management system that includes a flow sensor coupled to a fluid source conduit and configured to determine a fluid flow in the fluid source conduit; a flow sensor controller to compare the fluid flow to a flow threshold and generate a leak trigger signal based on the comparison of the fluid flow to the flow threshold; a controllable valve coupled to the fluid source conduit; and a valve controller to control the controllable valve to shut off the fluid flow in the fluid conduit based on a state of the leak trigger signal.

The present invention discloses an optimization method for natural gas pipeline operation under the carbon neutrality target. From the perspective of energy structure adjustment, the present invention proposes a complete low-carbon and low-consumption optimization model of long-distance natural gas transmission network, which is used for fine calculation of multi-energy carbon emissions and energy consumption in the transportation process of natural gas pipeline network; according to different energy structure backgrounds, the corresponding objective function for minimum carbon emissions is established, the optimization algorithm is adopted to solve the objective function for minimum carbon emissions and work out the optimal scheduling scheme. The present invention can realize energy conservation and emission reduction in the process of pipeline transportation and provide technical support for achieving the target of peak carbon dioxide emissions and carbon neutrality in the entire natural gas industry of China as early as possible.

A method includes providing a length of pipeline that has a housing defining a central bore extending the length of the pipe and a space formed within the housing and extending the length of the pipe. At least one condition within the space is continuously monitored within the space to detect in real time if a change in the housing occurs.

A system and method for controlling delivery of gas, including a gas pipeline network having at least one gas production plant, at least one gas receipt facility of a customer, a plurality of pipeline segments, and a plurality of control elements, one or more controllers, and one or more processors. The hydraulic feasibility of providing an increased flow rate of the gas to the gas receipt facility of the customer is determined using a linearized pressure drop model. A latent demand of the customer for the gas is estimated using a latent demand model. Based on the hydraulic feasibility and the latent demand, a new gas flow request rate from the customer is received. A network flow solution is calculated based on the new gas flow request rate. The network flow solution is associated with control element setpoints used by a controller to control one or more control elements.

Controlling flow of gas in a gas pipeline network, wherein flow within each pipeline segment is associated with a direction (positive or negative). Minimum and maximum signed flow rates are calculated for each pipeline segment constituting lower and upper bounds, respectively, for flow in each pipeline segment. A nonlinear pressure drop relationship is linearized within the lower and upper flow bounds to create a linear pressure drop model for each pipeline segment. A network flow solution is calculated, using the linear pressure drop model, and includes flow rates for each pipeline segment to satisfy demand constraints and pressures for each of a plurality of network nodes to satisfy pressure constraints. Lower and upper bounds on the pressure constraint comprise a minimum delivery pressure and a maximum operating pressure, respectively. The network flow solution is associated with control element setpoints used by a controller to control one or more control elements.

A method includes providing a length of pipeline that has a housing defining a central bore extending the length of the pipe and a space formed within the housing and extending the length of the pipe. At least one condition within the space is continuously monitored within the space to detect in real time if a change in the housing occurs.

The present disclosure provides a method for safety monitoring of durability of a gas pipeline corridor based on a monitoring Internet of Things system, comprising obtaining durability monitoring data and traffic vibration data of the pipeline corridor through a gas company sensor network platform, and obtaining road traffic data through a government safety monitoring management platform via a government safety monitoring sensor network platform; determining a traffic correlation based on at least one of the durability monitoring data, the traffic vibration data, or the road traffic data; determining a traffic-affected pipeline corridor based on at least one of the traffic vibration data or the traffic correlation, and reporting the traffic-affected pipeline corridor to a government safety monitoring service platform via the government safety monitoring sensor network platform and the government safety monitoring management platform, and determining whether to carry out traffic control via the government safety monitoring service platform.

To monitor corrosion in multiphase fluids pipelines, a first pipe is fluidically coupled to extend perpendicularly away from a bottom portion of a multiphase hydrocarbons pipeline. The multiphase hydrocarbons include oil, gas and water. The first pipe is fluidically coupled to a T-shaped pipe subassembly including a second pipe and a third pipe attached to the second pipe to form a T-shape. A hydrocarbon sample of the multiphase hydrocarbons is drawn into the first pipe. Gas in the hydrocarbon sample separates gravimetrically from oil and water in the hydrocarbon sample. The hydrocarbon sample is flowed from the first pipe through the T-shaped pipe subassembly. The hydrocarbon sample is analyzed using a corrosion coupon attached to one end of the third pipe and a corrosion probe attached to another end of the third pipe. A level of corrosion of the pipeline is determined based on results of analyzing the hydrocarbon sample.

The embodiment of the present disclosure provides a method for gas pipeline network supervision based on smart gas and an Internet of Things system, the method including: obtaining an area to be inspected; determining one or more downstream users based on the area to be inspected, obtaining gas consumption data of each of the one or more downstream users; determining, based on the gas consumption data, peak-valley features of gas consumption at a future time; determining a plurality of optional time points based on the peak-valley features of gas consumption; predicting future gas consumption features based on one or more change values of accessibility, the plurality of optional time points, and the gas consumption data through a prediction model; determining a target inspection time point based on the future gas consumption features; and generating inspection reminder instructions based on the target inspection time point.