新疆石油地质 ›› 2010, Vol. 31 ›› Issue (6): 596-597.

• 油气勘探 • 上一篇    下一篇

基于MATLAB平台研究碳酸盐岩储集层渗容特征

万能, 鲍征宇   

  1. 中国地质大学 地球化学研究所,武汉 430074
  • 收稿日期:2010-03-03 修回日期:2010-06-24 发布日期:2021-01-18
  • 作者简介:万能(1986-),男,湖北武汉人,在读硕士研究生,计算地球化学,(Tel)13135678979(E-mail)zhc93957@163.com.

Carbonate Reservoir Porosity-Permeability Characteristics of Digital Images Based on Matlab Platform

WAN Neng, BAO Zheng-yu   

  1. Institute of Geochemistry, China University of Geosciences, Wuhan, Hubei 430074, China
  • Received:2010-03-03 Revised:2010-06-24 Published:2021-01-18

摘要: 用MATLAB 强大的数字图像处理功能,对环境扫描电镜下获取的碳酸盐岩样品的数字图像进行处理,获取统计意义上的孔隙特征参数———图像孔隙度、计算渗透率和似圆性参数。然后将这些参数与实际测量的孔隙度、渗透率进行相关性分析。分析结果表明,用数字图像定量分析法获取的碳酸盐岩物性特征参数能够正确地评价岩石的物性,并且比传统方法能获取更多的特征参数信息。

关键词: 碳酸盐岩, 数字图像, 孔隙, 渗透率, 环境扫描电镜

Abstract: Actual measurement of rock samples of reservoirs is the main traditional method for obtaining their physical-property parameters, but this method can not be fit for analysis of carbonate microstructure. By means of Matlab powerful digital image processing functions, the digital images of carbonate rock samples obtained from the environmental scanning electron microscope (ESEM) are processed to get statistical pore characteristic parameters: image porosity, calculated permeability and circle-like parameters. And then, correlation analysis of these parameters with the actual measurement data of porosity and permeability is conducted. The results show that using digital image analysis method for obtaining characteristic parameters of carbonate rocks can correctly evaluate the physical properties of rocks, and get more information of the characteristic parameters than traditional methods.

Key words: carbonate rock, digital image, porosity, permeability, ESEM

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