Abstract: Systems and methods for pipeline network optimization are presented. The pipeline network can be represented through a flow model, which can include a plurality of modeled wells operatively coupled to production facilities through one or more flowlines. Risk profiles of the one or more flowlines can be determined based on flowline attributes of each flowline and based on a simulation of the flow model that uses production variation in wells connected to the respective flowline as a parameter to generate flow profile of the flowline. Understanding the risk profile of each flowline through a risk metric can help assess the production potential of each flowline and wells associated thereto and optimize the network cost of operation or maintenance.