Abstract: In view of the complex and changeable influencing factors of soil corrosion in buried oil and gas pipelines, and the randomness and fuzziness of soil corrosion evaluation index and grade threshold, cloud model is introduced as a tool for data mining and analysis, and eight factors which have a relatively great impact on soil corrosion are selected as evaluation indexes, and the corrosion intensity is divided into five Grades from weak to strong. In the calculation of index weight, the objective entropy weight method based on sample information and the G1 weight method based on expert experience are reconciled by difference coefficient method to generate a combination weight with higher confidence. The maximum comprehensive cloud membership degree of the evaluation system is obtained by combination weight and cloud membership degree of each index, so as to determine corrosion strength grade of the soil to be evaluated. The model is applied to seven soil samples in the anticorrosion project of the West-to-East Gas Pipeline. The evaluation results are consistent with the field survey results of the anticorrosion project, which proves the validity, scientificity and engineering application of the model.