In view of the problem of noise interference caused by environmental influence in the process of oil and gas well casing detection, a phased dynamic adaptive noise cancellation method of electromagnetic data of oil and gas well casing is proposed. By comparing the differences among the simulation signal, the detection signal of experimental well and the detection signal of actual well, and combining with the analysis of the noise source in the actual detection process, a detected signal compensation model based on the influence factors of eccentricity jitter temperature is established. Based on the compensation model, a segmented dynamic adaptive noise reduction model of casing electromagnetic testing data is trained. The experimental results show that the method can better reduce the noise information in the logging, which has certain application value.