Abstract: A method and system for detecting an anomaly in a pumped pipeline is disclosed. A data stream is received over time on operation of the pump and pump start and pump stop event data is obtained from the data stream. For each pair in time of a pump start event and preceding pump stop event in the data stream flow is calculated and compared to expected flow. Variation between calculated flow and expected flow is recorded as an exception and an alarm is triggered in dependence on the exception.

Abstract: A transient pressure event detection system and method for a pipeline network are disclosed. The system includes a data repository encoding route data on the pipeline network, a data receiver configured to receive timestamped pipeline sensor data from each of a plurality of sensors that are spaced apart in the pipeline network, use the sensor data received to identify a transient pressure event occurrence and the timestamp for the event occurrence's arrival time, determine routes in the pipeline network between the sensors, for each route determine a potential source location in the pipeline network for the transient pressure event, perform a simulated transient event for each potential source location and determine a modelled arrival time of a transient corresponding to the event, compare the timestamp of the event occurrence with the modelled arrival time and select the potential source location corresponding to the closest modelled arrival time.

Abstract: A rising main pipeline assessment system and method. An analysis system obtains data recorded on the pipeline and generates a steady state hydraulic model for the pipeline which defines expected performance zones under normal operating conditions and zone boundaries delineating normal and abnormal operating conditions. Model data is recorded in a data repository of the processing hub. A monitoring system includes a pipeline-connectable pressure transducer configured to obtain measurements during operation of the pipeline and generate, for each of a plurality of predetermined time periods, a data record including minimum, maximum and mean measurements. The data record is communicated to a processing hub which is configured to classify each received data record measurement according to its measurements and the performance zones of the model.

Abstract: A pipeline monitoring unit and method are disclosed. The unit includes a pressure monitoring unit couplable to a pipeline and arranged to monitor fluid pressure in the pipeline over time when coupled to the pipeline and generate data on the fluid pressure at a first sampling rate. A processing unit is arranged to process the data from the pressure monitoring unit to downsample at least a portion of the data from the pressure monitoring unit to a second sampling rate, the second sampling rate being less than the first sampling rate, to generate working data and monitor the samples in the working data for samples having predetermined characteristics to identify a transient event. Upon identifying a transient event, data including at least a portion of the data from the pressure monitoring unit having the first sampling rate is communicated to a remote system for analysis.

Abstract: A pipeline monitoring unit and method are disclosed. The unit includes a pressure monitoring unit couplable to a pipeline and arranged to monitor fluid pressure in the pipeline over time when coupled to the pipeline and generate data on the fluid pressure at a first sampling rate. A processing unit is arranged to process the data from the pressure monitoring unit to downsample at least a portion of the data from the pressure monitoring unit to a second sampling rate, the second sampling rate being less than the first sampling rate, to generate working data and monitor the samples in the working data for samples having predetermined characteristics to identify a transient event. Upon identifying a transient event, data including at least a portion of the data from the pressure monitoring unit having the first sampling rate is communicated to a remote system for analysis.