Abstract: Method and systems for detecting an anomaly in a pipeline or a flowline. The method includes monitoring real-time data in the pipeline or the flowline, wherein the pipeline or flowline includes a plurality of nodes, the nodes including at least one or more inlets and one or more outlets. The method includes generating a probability metric using a prediction service, wherein the prediction service uses a convolutional neural network. The method includes determining whether to add an alarm, based, at least in part on the probability metric and if there are one or more active alarms, performing an action based on the active alarm.