摘要
岩石孔隙结构特征是影响储层流体(油、气、水)的储集能力和油气资源开采的主要因素。明确岩石的孔隙结构特征是充分发挥油气产能和提高油气采收率的关键。岩石微观孔隙结构模型重建基于真实岩石微观图像,可以有效再现天然岩石的复杂孔隙结构特征。基于岩芯三维CT图像与图像分割技术,采用Matlab编程求解了岩芯的孔隙度及孔径分布数据。通过编程构建了能够真实反映原始岩样孔隙形态的结构化网格模型,并基于该模型求解了岩样的渗透率数据。计算得到的孔隙度及渗透率数据均与实验结果较好吻合。
Pore structure feature of rocks is one of the major factors which affect the reservoir storage capacity of fluids（oil, gas and water）and the exploitation of oil and gas resources. A better understanding of pore structure characteristics is of great significance in increasing oil and gas production and improving recovery efficiency. Based on the microscopic images of real rocks,microscopic pore structure models are able to reproduce the complex structure of natural rock pores. On the basis of three-dimensional CT image and segmentation technology,data of the rock porosity and pore size distribution are obtained in this paper by Matlab programming. Furthermore,a structured grid model which reflects the pore morphology of the original rock sample is constructed. Based on that,the permeability of the rock sample is obtained. The simulation results of the porosity and permeability agree well with the experimental results.
出处
《西南石油大学学报（自然科学版）》
CAS
CSCD
北大核心
2015年第3期138-145,共8页
Journal of Southwest Petroleum University(Science & Technology Edition)
基金
国家自然科学基金(51174170)
国家科技重大专项(2011ZX05013-006)
关键词
岩样CT图像
孔隙度
孔径分布
渗透率
结构化孔隙网格模型
Micro-CT images of core sample
porosity
pore diameter distribution
permeability
structured element model
