In core image analysis, Low resolution core images can display a larger fields of view and have better global representation, but cannot accurately characterize the low scale information; Whilehigh resolution core images can accurately represent the low scale information of the core,but usually only show a smaller field of view. In order to comprehensively analysis different core images in high and low resolution, An algorithm is proposed based on simulated annealing to reconstruct low resolution 3D core image into high resolution 3D core with high resolution two dimensional (2D) core image being the constraint information. For a given high resolution 2D core image, the low resolution 3D core image is first interpolated to unify the length of the any two points, the pore distribution in the 2D core image is counted, and the small pores in the high resolution 2D image are retained as a training image. In the fusion reconstruction process, the large size pores in the low resolution 3D core are set as hard data, and the autocorrelation function is used as the objective function to reconstruct the small sized pores. The experimental results show that the fusion reconstruction algorithm proposed in the paper can reconstruct the low resolution core into a high resolution core structure, and the fusion reconstruction results are effective and accurate.
