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http://dx.doi.org/10.9720/kseg.2017.3.323

Formation Identification using Anisotropic Parameters from Sonic and Density Logs  

Jang, Seonghyung (Korea Institute of Geoscience and Mineral Resources, Petroleum and Marine Division)
Kim, Tae Youn (Korea Institute of Geoscience and Mineral Resources, Geological Environment Division)
Hwang, Seho (Korea Institute of Geoscience and Mineral Resources, Geological Environment Division)
Publication Information
The Journal of Engineering Geology / v.27, no.3, 2017 , pp. 323-330 More about this Journal
Abstract
For the formation identification, surface geological survey, drill core analysis, core description and well log analysis are widely used. Among them well log analysis is a popular method with drill core analysis, since it measures continuously physical properties at in-situ. In this study we calculated Thomsen anisotropic parameters (${\varepsilon},\;{\delta},\;{\eta}$) after applying Backus averaging method to the P wave velocity, S wave velocity, and density logs. The well log data application of Blackfoot, Canada, shows the formation could be divided by 12 layers. This shows that Thomsen anisotropic parameters for identifying formation using anisotropic parameters is useful if there is no natural gamma log that is widely used for the formation identification.
Keywords
formation identification; Backus averaging; Thomsen anisotropic parameter; sonic log; density log;
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Times Cited By KSCI : 2  (Citation Analysis)
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