Comparison of IK, SISIM and SNESIM in reconstructing 2D porous media
Great progress has been made in the mechanics of fluids flow in porous media, which is based on Da revs law and widely used in many engineering fields. The two-dimensional reconstruction of porous media is of great significance to the research of mechanisms of fluid flow in porous media. However, it is quite difficult to reconstruct the unknown information only by some sparse known data in the process of reconstruction. Therefore, some interpolation methods are used to reconstruct the unknown region for better results. Some interpolation methods including indicator kriging (IK), sequential indicator simulation (SISIM) and single normal equation simulation (SNESIM) are typical interpolation methods for reconstruction of porous media. IK is a famous interpolation method in geoscience and it does not guarantee that the probabilities monotonically increase and are bound between 0 and 1 for the continuous case and that they are all positive summing to one for the categorical case. SISIM combines IK with the sequential method to simulate nonparametric continuous or categorical distributions. SNESIM scans a training image using a data template to get the probabilities of occurrences of data events. The three methods are tested on the two-dimensional reconstruction of sandstone. The reconstructed images and the original image are compared. The experimental results demonstrate that the structures of porous media reconstructed through SNESIM are most similar to those of original data.
porous media IK SISIM SNESIM reconstruction
Yanlong Wang Jinhua Liu Ting Zhang
Dept. of Electrical and Information Engineering Zhejiang University of Media and Communications Hang Science and Technology on Information Systems Engineering Laboratory Nanjing, China
国际会议
2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)
长沙
英文
430-434
2010-12-14（万方平台首次上网日期，不代表论文的发表时间）