Pointing to the problem of obvious step like pattern appearing in transition regions between neighboring windows during the dynamic image generating by conductivity data acquired by electric imaging logging in stratum, image blending method based on Laplace pyramid is designed in this paper. Based on the gray-level images generating up and down step and reverse extending, OpenMP architecture is adopted to execute the blending of extended images up and down on multi-steps of whole well section in parallel. Experimental result is that steps in images are removed effectively, dynamic images are generated with more natural transition and computing speed is improved by about 4 times compared with serial computing on electrical imaging logging data of four wells with different geological types. Results show that compared with two-dimensional image fading method based on mesh morphing, the method is simpler with higher efficiency and more greater application value which ensures post interpretation and processing and provides better service ability for exploration and development of oilfields.