基于CT 图像及孔隙网格的岩芯孔渗参数研究

doi:10.11885/j.issn.1674-5086.2015.04.03.03

摘要/Abstract

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。

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

Abstract:

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.

Key words: Micro-CT images of core sample, porosity, pore diameter distribution, permeability, structured element model

宋睿1，刘建军1，2 *，李光1. 基于CT 图像及孔隙网格的岩芯孔渗参数研究[J]. 西南石油大学学报(自然科学版), DOI: 10.11885/j.issn.1674-5086.2015.04.03.03.

Song Rui1, Liu Jianjun1，2*, Li Guang1. Researches on the Pore Permeability of Core Sample Based on 3D
Micro-CT Images and Pore-scale Structured Element Models[J]. 西南石油大学学报(自然科学版), DOI: 10.11885/j.issn.1674-5086.2015.04.03.03.

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