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作 者:王俊 张超谟[1,2] WANG Jun;ZHANG Chaomo(College of Geophysics and Petroleum Resources,Yangtze University,Wuhan,Hubei 430100,China;Key Laboratory of Exploration Technologies for Oil and Gas Resources,Ministry of Education,Ysngtze University,Wuhan,Hubei 430100,China)
机构地区:[1]长江大学地球物理与石油资源学院,湖北武汉430100 [2]长江大学油气资源与勘探技术教育部重点实验室,湖北荆州434023
出 处:《测井技术》2019年第6期631-635,共5页Well Logging Technology
摘 要:通过对研究区岩心描述、压汞实验、铸体薄片等资料进行分析,优选出孔隙度、渗透率、排驱压力、最大进汞饱和度等9种参数,结合SPSS二阶聚类法将研究区碳酸盐岩储层孔隙结构划分为3个类型.Ⅰ类为差储层,压汞曲线平台明显,以单峰分布为主,整体连通性较差;Ⅱ类储层中等发育,储集空间以铸模孔为主,同时发育有粒间、粒内溶孔和少量裂缝;Ⅲ类储层为研究区优质储层,主要发育有粒间孔和连通铸模孔,整体连通性较好.采用逐步判别分析检验并建立函数,分类结果准确率达到98.1%.Based on core description, mercury injection experiments and casting thin sections nine parameters are optimized, including the porosity, permeability, displacement pressure and maximum mercury saturation in the study area, then the carbonate reservoirs are divided into three classes according to the pore structures by the SPSS second-order clustering method. The first class is poor reservoirs which mercury injection curve has an obvious platform and single peaks, and the overall connectivity is poor Class Ⅱ reservoirs are moderately developed, and the reservoir space is mainly composed of mold pores and less intergranular and intragranular dissolution pores and fractures. Class Ⅲ reservoirs are the best in the study area. They have intergranular pores and connected mold pores. The overall connectivity is good. Through stepwise discrimination and analysis and establishing classification functions, we can get the accuracy of classification results up to 98.1%.
关 键 词:储层分类 碳酸盐岩 二阶聚类 孔隙结构 储层参数 分类 逐步判别分析
分 类 号:TE122.2[石油与天然气工程—油气勘探]
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