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作 者:李建林[1,2] 徐国盛[1] 严维理 杨斌[1] 周存俭[1]
机构地区:[1]成都理工大学 [2]中国石油西南油气田公司川东开发公司 [3]川庆钻探工程公司地质勘探开发研究院
出 处:《天然气工业》2008年第11期49-52,58,共5页Natural Gas Industry
基 金:中国石油西南油气田公司科研项目“四川盆地已开发气田气藏精细描述技术研究”(编号:20050305)的资助
摘 要:四川盆地川东地区石炭系碳酸盐岩气藏天然气储量十分丰富,然而储层总体物性差、非均质强,裂缝发育范围及状况成为制约气井产能的关键因素。根据区内沙罐坪气田石炭系储层岩心裂缝发育情况,将其划分为裂缝发育段、裂缝较发育段和裂缝不发育段。通过分析其常规测井系列的特点,研究储层裂缝所对应的测井响应特征,应用SPSS统计软件对3种裂缝发育模式作多元判识,得到了3类裂缝的判别关系式,回判率达到98。然后利用该模型对研究区内各井裂缝的发育程度进行了判识,并在平面上对裂缝发育状况进行了预测评价。储层裂缝预测结果与各井钻井显示、测试情况较为吻合。该模型在沙罐坪构造取得了较好的应用效果,也为其他地区储层裂缝识别与预测研究提供了参考。The Carboniferous carbonate gas reservoirs of Shaguanping gas field in the eastern Sichuan basin are rich in gas reserves,but poor in poroperm characteristics and strong in heterogeneity.The scope and status of fractures are the major factors constraining the deliverability of gas wells.The reservoir in the study area is divided into 3 intervals with well-developed,moderately-developed and poorly-developed fractures respectively.The log responses of fractures in the 3 reservoir intervals are studied through analyzing the characteristics of their conventional logs.Multivariate discrimination is performed on the patterns of fracture development by using statistical package for the social science(SPSS) software.Corresponding discriminant relations are established for these three fracture types and their ratios of back-discrimination are up to 98%.They are used to discriminate fractures in each well in the study area and to predict the plane distribution of the fractures.The predicted results are in good coincidence with the drilling and testing results.The successful application of these fracture models provides a reference to fracture identification and prediction in other areas.
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