Abstract: The liquefaction and local erosion of the seabed under the combined action of waves and currents can pose extremely adverse effects on the safety of submarine pipelines. How to quickly predict seabed liquefaction and local erosion around submarine pipelines under forthcoming waves and currents has always been a key issue for the operation and management departments of offshore oil and gas pipelines. The corresponding numerical calculation models for the seabed liquefaction and local erosion induced by the combined action of waves and currents around the submarine pipeline was established based on the engineering geological background of Chengdao sea area. Numerical calculations with different combinations of wave currents, pipelines, and sediment characteristic parameters were carried out and the typical response characteristic parameters of local erosion and seabed liquefaction were analyzed. On this basis, the key input and output parameters of the numerical examples were chosen for normalization, and were used to construct a machine learning model for seabed liquefaction and local erosion prediction in the vulnerable section of the submarine pipeline routing in the Chengdao area. The established machine learning model which has been developed into a visualization software shows good prediction accuracy, and the calculation can be finished in a few seconds. The research results can provide reference for emergency management of submarine pipelines in Chengdao sea area.