摘要
利用指示克里金方法对微观CT层析图像中的剩余油图像和孔隙图像进行了分割,得到了二维CT层析图像中的孔隙以及油水分布。在此基础上,利用MarchingCube算法进行了连续CT层析图像的三维重建,实现了岩石中的孔隙以及不同驱替阶段中剩余油分布的可视化。对比二维分割图像和三维重建图像,结果表明,三维重建图像能克服二维分割图像只能从平面上反映孔隙以及流体分布的局限性,因而能更加直观、真实、准确地反映驱替过程中剩余油在空间上分布的变化规律。
Indicator Kriging Method is used to perform the segmentation on remaining oil and permeability images in microscopic CT tomographic images, by which pore and remaining oil distributions in 2D CT tomographic images are obtained. On the basis stated above, Marching Cube algorithm is deployed to conduct a 3D reconstruction of successive CT tomographic images, visualization is implemented on rock pores and remaining oil distribution at different stages of displacement. 2D segmentation images are contrasted with that of 3D reconstruction. The result shows that the limits of pores and fluid distribution only being reflected from a planer surface in 2D segmentation images can be avoided by 3D reconstruction images, therefore the changing rules of remaining -oil space distribution in displacement can be more directly, truly and accurately reflected.
出处
《石油天然气学报》
CAS
CSCD
北大核心
2006年第4期102-106,共5页
Journal of Oil and Gas Technology
基金
国家自然科学基金资助项目(10302021)。