摘要
介绍了图像处理技术的基本原理,将图像处理中的迭代阈值法和判别分析法引入了微观渗流图像的分割,实现了渗流图像中剩余油和孔隙的自动分割,在此基础上进一步计算出渗流参数。实例计算验证了该方法的有效性,在分割聚合物微观渗流图像的基础上,能够实现聚合物微观渗流实验结果的定量化,从而为聚合物驱后进一步提高原油采收率研究提供了理论依据。
The basic principle of image processing was briefed, the iterative threshold algorithm and discriminatory analysis algorithm were introduced into segmenting of microvadose images. The automatic segmentation of remaining oil and pores in microvadose images was achieved. Based on the segmentation, the related parameters of microvadose images were calculated. Examples were also given to testify the validity of two methods discussed in this paper. On the basis of the segmentation of polymer-flooding microvadose images, the results of polymer-flooding microvadose experiment were quantized, which laid the theoretical foundation for enhanced oil recovery succeeding polymer flooding.
出处
《石油大学学报（自然科学版）》
EI
CSCD
北大核心
2005年第3期75-78,82,共5页
Journal of the University of Petroleum,China(Edition of Natural Science)
基金
国家自然科学基金资助项目(10302021)
