基于SEM图像灰度水平的页岩孔隙分割方法研究

发布时间：2018-01-02 14:22

本文关键词：基于SEM图像灰度水平的页岩孔隙分割方法研究　出处：《岩矿测试》2016年06期 　论文类型：期刊论文

【摘要】：微观孔隙结构是研究页岩气吸附运移机制和建立地质模型的基础,氩离子抛光-扫描电子显微镜(SEM)技术是开展此项研究的主要实验方法,但已有的研究大多是关注页岩孔隙分类,较少从定量角度表征其特征。为开展页岩微观孔隙结构定量研究,提高孔隙分割质量,本研究分别利用边缘检测分割法、流域分割法、手动和自动阈值分割法对页岩无机孔和有机孔二次电子图像进行分割实验,对比不同方法的分割效果。结果表明,通过选取合适的分割阈值,基于SEM图像的手动阈值分割法能够表征1 nm以上的孔隙,准确地识别有机质与脆性矿物边缘、孔隙与有机质边缘,使得页岩孔隙提取结果趋近于真实,能更有效地对页岩孔隙结构进行定量分析。
[Abstract]:Micro pore structure is the basis of studying the mechanism of shale gas adsorption and migration and establishing geological model. Argon ion polishing and scanning electron microscope (SEM) technique is the main experimental method for this study. However, most of the existing studies focus on the classification of shale pores, less from a quantitative point of view to characterize the characteristics of shale micro-pore structure quantitative research, improve the quality of pore segmentation. In this study, edge detection method, watershed segmentation method, manual and automatic threshold segmentation method were used to segment the secondary electronic images of shale inorganic and organic holes. The results show that the manual threshold segmentation method based on SEM image can represent the pore size above 1 nm by selecting the appropriate segmentation threshold. Accurate identification of the edges of organic matter and brittle minerals, pore and organic matter edge makes the extraction results of shale pores more realistic, which can be more effective in quantitative analysis of shale pore structure.
【作者单位】：中国科学院微观界面物理与探测重点实验室;中国科学院上海应用物理研究所上海光源;中国科学院地质与地球物理研究所;
【基金】：中国科学院战略性先导科技专项(B类)“页岩三维成像实验技术和数据获取技术”(XDB10020102) 国家杰出青年科学基金资助项目(41325016)
【分类号】：P618.13
【正文快照】： 微观孔隙结构是研究页岩气吸附运移机制和建立地质模型的基础[1-2]。氩离子抛光-扫描电子显微镜(Ar Ion Milling-SEM)技术,聚焦离子束扫描电子显微镜(FIB-SEM)技术和X射线断层扫描(X-CT)技术是当前页岩微观孔隙结构研究的主要测试技术,不仅能够直观地定性反映页岩的孔隙类型、

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