Statistical factor analysis technique for characterizing basalt through interpreting nuclear and electrical well logging data (case study from Southern Syria)

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• 作者：Jamal Asfahani
• 关键词：Factor analysis ; Nuclear well logging ; Electrical well logging ; Basalt ; Syria
• 刊名：Applied Radiation and Isotopes
• 出版年：February, 2014
• 年：2014
• 卷：84
• 期：Complete
• 页码：33-39
• 全文大小：1925 K

文摘

Factor analysis technique is proposed in this research for interpreting the combination of nuclear well logging, including natural gamma ray, density and neutron-porosity, and the electrical well logging of long and short normal, in order to characterize the large extended basaltic areas in southern Syria. Kodana well logging data are used for testing and applying the proposed technique. The four resulting score logs enable to establish the lithological score cross-section of the studied well. The established cross-section clearly shows the distribution and the identification of four kinds of basalt which are hard massive basalt, hard basalt, pyroclastic basalt and the alteration basalt products, clay. The factor analysis technique is successfully applied on the Kodana well logging data in southern Syria, and can be used efficiently when several wells and huge well logging data with high number of variables are required to be interpreted.