The slug flow pattern is one of the most common gas–liquid flow patterns in multiphase
transportation pipelines, particularly in the oil and gas industry. This flow pattern can cause
severe problems for industrial processes. Hence, a detailed description of the spatial
distribution of the different phases in the pipe is needed for automated process control and
calibration of predictive models. In this paper, a deep-learning based image processing
technique is presented that extracts the gas–liquid interface from video observations of …