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作 者:陈更新[1,2] 刘应如[1,2] 郭宁 王爱萍[1,2] 常海燕[1,2] 张婷静[1,2]
机构地区:[1]中国石油勘探开发研究院西北分院,兰州730020 [2]中国石油天然气集团公司油藏描述重点实验室,兰州730020 [3]中国石油青海油田分公司勘探开发研究院,甘肃敦煌736200
出 处:《岩性油气藏》2016年第1期72-76,87,共6页Lithologic Reservoirs
基 金:国家重大科技专项"复杂气藏地震综合解释与三维建模技术研究及应用"(编号:2011ZX05007-006);中国石油重大科技专项"柴达木盆地新区复合油藏高效开发技术研究"课题(编号:2011E-0308)联合资助
摘 要:传统的铸体薄片孔隙结构分析方法仅局限于对铸体薄片照片进行定性描述,而应用图像处理技术,可凸显和挖掘铸体薄片孔隙结构的有效信息,并可计算出其分形维数,建立分形维数与岩心孔隙度、沉积微相及采油指数的定量关系。分形维数是铸体薄片孔隙性和分选性的综合反映,孔隙度越大,分选性和连通性越好,分形维数则越大。柴达木盆地昆北新区切6油藏储层中,分流河道和河口坝微相的分形维数界限为1.83,利用它可以判别沉积微相类型。孔隙结构分形维数与相应层段的采油指数具有正相关性,可用来定量预测采油指数。利用分形几何学方法可实现对铸体薄片孔隙结构的半定量刻画。The conventional analysis of pore structure of casting thin sections is mainly limited to qualitative description of the picture. Effective information of pore structure can be obtained by using the image processing technology to calculate the fractal dimensions of pores. The quantitative relations of the fractal dimensions with porosity, sedimentary microfacies and productivity index were established. The fractal dimensions represent porosity and sorting features synthetically. The larger the porosity is, the better the sorting and connectivity are, and the larger the fractal dimension will be. In the Qie 6 reservoir in Kunbei area of Qaidam Basin, the fraetal dimension limit between distributary channel and river mouth bar is 1.83, which can be used to distinguish microfacies. The fractal dimension has a quantificational positive-correlation with productivity index, so it can be used to predict the productivity index. By the fractal mathematics method, the semi-quantitative characterization of the pore structure of casting thin sections can be realized.
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