An Empirical Study for Adopting Machine Learning Approaches for Gas Pipeline Flow Prediction

Figure 1

The structure of comprehensive analysis and control system of natural gas pipelines. The yellow label represents the flow rate computation model. The predictions of this module are fed to the fuzzy control module, and the fuzzy control module uses this information and other signals to control the natural gas pipeline system.