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松辽盆地青山口组岩石孔隙结构定量表征及其计算机应用 被引量:1

Quantitative characterization of rock pore structure and its computer application: a case study of Qingshankou Formation in Songliao Basin
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摘要 为了研究岩石孔隙结构的定量表征方法,以松辽盆地青山口组一段湖相泥页岩为研究对象,结合扫描电镜照片分析,应用压汞法和低温氮气吸附法等方法对研究区泥页岩样品进行泥页岩孔隙结构研究。进一步通过BET比表面积、平均孔径、孔隙总表面积等参数分析了泥页岩孔隙结构及其影响因素,并对两种方法在孔隙结构定量表征结果进行对比,研究结果为松辽盆地青山口组及其类似地区泥页岩孔隙结构定量表征评价提供参考。并针对泥页岩岩石孔隙结构的特点,以VB.net为编程语言,开发了"岩石微观孔隙结构定量分析"软件,实现了利用压汞法、氮气吸附法表征孔隙结构计算中图形化统计分析功能,提高了岩石孔隙结构定量表征的工作效率。 Taking the lacustrine shale of the first member of Qingshankou Formation in Songliao Basin as the research object,combined with the analysis results of SEM photos,the pore structure of shale samples in the study area was studied by mercury injection method and low temperature nitrogen adsorption method.The pore structure and its influencing factors of shale were studied though analyzing BET specific surface area,average pore size,total pore surface area and other parameters.The pore size characteristics of Qingshankou Formation shale in Songliao Basin were studied by three methods,and the quantitative characterization results of pore structure by three methods were compared,the results provide a reference for quantitative characterization and evaluation of shale pore structure in Qingshankou Formation and similar areas of Songliao Basin.According to the characteristics of shale rock pore structure,a software is developed for quantitative analysis of rock micro pore structure using VB net as the programming language.The graphical statistical analysis function of pore structure calculation characterized by mercury injection method and nitrogen adsorption method is realized,which improves the work efficiency and has a certain promotion value.
作者 李芳 赵文扬 郭爱军 常天印 LI Fang;ZHAO Wen-yang;GUO Ai-jun;CHANG Tian-yin(Shanxi Institute of Energy,Jinzhong 030600,China;Exploration and Research Institute,CNACG,Beijing 100039,China)
出处 《煤炭工程》 北大核心 2021年第7期119-122,共4页 Coal Engineering
基金 山西省教育厅科技创新资助项目(201802110) 山西省应用基础研究项目(201801D121124)。
关键词 岩石孔隙结构 定量研究 VB.NET 松辽盆地 pore structure of rock quantitative study VB net Songliao Basin
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