Linepack delay measurement in fluid delivery pipeline

摘要

Technical solutions are described for predicting linepack delays. An example method includes receiving temporal sensor measurements of a first fluid-delivery pipeline network and generating a causality graph of the first fluid-delivery pipeline network. The method also includes determining a topological network of the stations based on the causality graph, where the topological network identifies a temporal delay between a pair of stations. The method also includes generating a temporal delay prediction model based on the topological network and predicting the linepack delays of a second fluid-delivery pipeline network based on the temporal delay prediction model, where a compressor station of the second fluid-delivery pipeline network compresses fluid based on the predicted linepack delays to maintain a predetermined pressure.

主权项

1. A computer implemented method for controlling flow of fluid by predicting linepack delays, the method comprising:
receiving, by a processing unit of a supervisory control and data acquisition system, temporal sensor measurements of a first fluid-delivery pipeline network, wherein the temporal sensor measurements comprises a series of sensor measurements from each respective station from the stations of the fluid-delivery pipeline network; generating, by the processing unit, a causality graph of the first fluid-delivery pipeline network based on the temporal sensor measurements, wherein the causality graph comprises a set of nodes and a set of links, wherein the nodes are representative of the stations, and a pair of nodes is connected by a link in response to the pair of stations being temporally dependent; determining, by the processing unit, a topological network of the stations based on the causality graph, wherein the topological network identifies a temporal delay between a pair of stations in the first fluid-delivery pipeline network, wherein determining the topological network comprises:
selecting a node of the causality graph, wherein the selected node corresponds to a supply station of the first fluid-delivery pipeline network;determining a set of nodes linked to the selected node in the causality graph;identifying, from the set of nodes, a first node that has the least temporal lag among the set of nodes; andremoving, from the set of nodes, a second node that is linked to the first node; generating, by the processing unit, a temporal delay prediction model based on the topological network associated with the first fluid-delivery pipeline network; predicting, by the processing unit, the linepack delays of a second fluid-delivery pipeline network based on the temporal delay prediction model generated using the first fluid-delivery pipeline network, wherein the second fluid-delivery pipeline network is a non-monitored pipeline network; andcompressing, by a compressor station of the second fluid-delivery pipeline network, fluid being transported by the second fluid-delivery pipeline network based on the predicted linepack delays to maintain at least a predetermined pressure in the second fluid-delivery pipeline network.