为了克服沃尔什变换域反演的不足 ,构造了一种深度域反演算法 ,并结合信息分辨率理论 ,对两组深感应测井模型进行了反演处理。结果显示 ,该算法能有效恢复薄层 ,纵向分辨率达到了 0 2 5m ,精度较高 ,且高电导率地层比低电导率地层的反演效果好 In order to overcome the shortage of inversion in Walsh transform domain, a depth domain inversion algorithm was constructed and combined with the information resolution theory, two groups of deep induction logging models were inverted. The results show that the algorithm can effectively recover the thin layer, the resolution is up to 0 2 5m, and the accuracy is high. The inversion of the high-conductivity formation is better than the low-conductivity formation.