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。
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.
出处
《新疆石油地质》
CAS
CSCD
北大核心
2010年第6期596-597,共2页
Xinjiang Petroleum Geology