Hybrid Convolutional, Transformer and Physics-Encoding Networks for Multiphase Flow Pattern Identification in Vertical Pipelines
Accurate identification of multiphase flow patterns in vertical pipelines is critical for operational safety and efficiency in the oil and gas industry. Yet, conventional methods struggle with subjectivity and transitional regimes. This study develops and integrates three neural network architectures: a convolutional n...