Controlling flow of gas in an gas pipeline network, wherein flow of gas within each of the pipeline segments is associated with a direction (positive or negative). Processors calculate minimum and maximum production rates (bounds) at the gas production plant to satisfy an energy consumption constraint over a period of time. The production rate bounds are used to calculate minimum and maximum signed flow rates (bounds) for each pipeline segment. A nonlinear pressure drop relationship is linearized to create a linear pressure drop model for each pipeline segment. A network flow solution is calculated, using the linear pressure drop model, comprising flow rates for each pipeline segment to satisfy demand constraints and pressures for each of a plurality of network nodes over the period of time to satisfy pressure constraints. The network flow solution is associated with control element setpoints used to control one or more control elements.

A smart solenoid control system for controlling flow of fluid in a conduit includes a solenoid, a plurality of fluid sensors, a plurality of solenoid sensors, a display device, a communication module, and a control. Each fluid sensor senses a parameter associated with the fluid in the conduit. Each solenoid sensor senses a parameter associated with the solenoid. The display device is configured to render images. The communication module is configured to transmit received data to a remote station or handheld device. The control is coupled to receive signals from the fluid sensor signals and the solenoid sensors and determines whether the solenoid should be in a first or second position, supplies drive current to the solenoid to cause the solenoid to move to the desired position, selectively commands the display device to render images, and supplies the data to the communication module for transmission.

Methods of remotely, selectively controlling the flow rate of fluid moving through a subsea pipeline during dewatering of the pipeline involve a control unit of a subsea valve actuation system selectively, autonomously varying the flow of fluid through a fluid flow conduit of the system fluidly coupled to the pipeline at the pig receiving end thereof based at least partially upon one or more signals emitted by at least one pressure transducer or flow meter fluidly coupled to the fluid flow conduit.

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.

Methods of remotely facilitating the transition between hydrotesting and dewatering of a subsea pipeline include a control unit of a subsea valve actuation system determining when hydrotesting of the pipeline has been completed and autonomously allowing fluid flow out of the pipeline at the receiving end thereof without the involvement of an external source at the surface, or a UV, at the pig receiving end of the pipeline to allow dewatering the pipeline from the launch end of the pipeline.

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.

The present disclosure provides a method and an Internet of Things (IoT) system for dynamic allocating emergency devices of smart gas. The method comprises determining gas supply and demand features based on node data and downstream user features of a gas pipeline network; determining a plurality of gas emergency regions based on the gas supply and demand features; determining physical distances between the plurality of gas emergency regions and time intervals required for an emergency response based on the plurality of gas emergency regions; determining weighted distances based on the physical distances, the time intervals, and weighted weights; determining a dynamic deployment scheme for a plurality of emergency devices based on the weighted distances and device data of the plurality of emergency devices; and generating a movement instruction based on the dynamic deployment scheme, and sending the movement instruction to the plurality of emergency devices.

A natural gas system includes a process suction conduit, a compressor package configured to receive a flow of natural gas from the process suction conduit and to increase a pressure of the flow of natural gas whereby the flow of natural gas is discharged from the compressor package as a pressurized flow of natural gas, a process discharge conduit connected downstream of the compressor package, and an emissions management module coupled to the compressor package and configured to capture emissions from the compressor package, wherein the emissions management module includes a vapor recovery unit configured to circulate the captured emissions from the VRU along an emissions discharge conduit coupled to the VRU to at least one of the process suction conduit, a fuel gas system of the natural gas system, and a hydrocarbon processing component of the natural gas system that is separate from the compressor package.

Apparatus for regulating gas pressure suitable for use in systems and/or networks for transport and/or distribution of gas, the apparatus configured to be connected upstream with an inlet duct for the gas and downstream with an outlet duct, and includes: a main regulator including: an inlet area fluidically connectable with the inlet, an outlet area fluidically connectable with the outlet, a shutter which acts between the inlet area and the outlet area, means configured to push the shutter towards a closed position, a motorization chamber in which a movable element is housed, a pilot regulator including: an inlet which is fluidically connected with a first sub-chamber, to thus allow the passage of gas from the first sub-chamber towards an inlet of the pilot regulator, an outlet which is fluidically connected to said second sub-chamber, and at least one pilot valve.

Disclosed is monitoring and early warning method for gas gate station and IoT system thereof. The method comprises: obtaining a downstream user feature and historical warning data corresponding to the gas gate station; determining, based on the downstream user feature and the historical warning data and in combination with operation data of the gas gate station, an associated node related to the gas gate station in a preset time period; obtaining monitoring data of the associated node; determining a pipeline network monitoring feature based on pipeline network monitoring data; determining ideal operation data of the gas gate station at a future time through a prediction model, the gate station operation data, and the pipeline network monitoring feature; and issuing an early warning notification in response to a difference between gate station monitoring data and the ideal operation data exceeding a threshold.