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SPSS统计分析软件在气、水层识别中的应用
Application of SPSS to identify the gas zone and water layer
【摘要】 本文结合测井、录井、完井测试等资料的气、水显示情况,选取新场地区某气藏典型井,使用统计软件SPSS进行逐步判别分析,建立该地区气、水层的判别模型,以便对该地区单井进行气、水层划分。并对模型的显著性进行检验,其判别气、水层的平均符合率达到96.6%,表明所建立的模型是可靠的,能够比较准确地判识该地区的气、水层。使用SPSS进行判别分析操作简单,与编程相比大大减小了难度、节约了时间。
【Abstract】 Based on the showing of gas and water in well logging, well recording and well testing, this paper uses the step discriminant analysis in SPSS to establish the discrimination model of gas and water in a certain gas pool in Xin Chang in order to mark off the gas and water in single wells in this area. After verifying the significance of discrimination model, the result shows that the average exact probability reaching 96.6 percent. This indicates that the model is creditable, and can heighten the level of identifying gas and water in this area. Compared with the programming, using SPSS is simple, easy and saving time.
【Key words】 Computer Application; SPSS; step discriminant analysis; discrimination model;
- 【文献出处】 微计算机信息 ,Microcomputer Information , 编辑部邮箱 ,2009年25期
- 【分类号】TP319
- 【被引频次】17
- 【下载频次】489