Abstract: The present disclosure provides a method and system for predicting a relative permeability curve based on machine learning. The present disclosure takes logging curve data as an input, and water saturation endpoint values as an output to establish a first relative permeability curve starting point model, and takes the logging curve data and a predicted water saturation starting value output from the first relative permeability curve starting point model as an input, and relative permeabilities under different water saturations as an output to establish a first relative permeability model, thereby obtaining a comprehensive prediction method for the relative permeability curve based on deep learning, and implying control mechanisms and parameters to a model.