کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5497710 1532069 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Lithology and mineralogy recognition from geochemical logging tool data using multivariate statistical analysis
ترجمه فارسی عنوان
شناسایی سنگ شناسی و کانی شناسی از داده های ابزار ژئوشیمیایی ورود به سیستم با استفاده از تجزیه و تحلیل آماری چند متغیره
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم تشعشع
چکیده انگلیسی
The availability of a deep well that penetrates deep into the Ultra High Pressure (UHP) metamorphic rocks is unusual and consequently offers a unique chance to study the metamorphic rocks. One such borehole is located in the southern part of Donghai County in the Sulu UHP metamorphic belt of Eastern China, from the Chinese Continental Scientific Drilling Main hole. This study reports the results obtained from the analysis of oxide log data. A geochemical logging tool provides in situ, gamma ray spectroscopy measurements of major and trace elements in the borehole. Dry weight percent oxide concentration logs obtained for this study were SiO2, K2O, TiO2, H2O, CO2, Na2O, Fe2O3, FeO, CaO, MnO, MgO, P2O5 and Al2O3. Cross plot and Principal Component Analysis methods were applied for lithology characterization and mineralogy description respectively. Cross plot analysis allows lithological variations to be characterized. Principal Component Analysis shows that the oxide logs can be summarized by two components related to the feldspar and hydrous minerals. This study has shown that geochemical logging tool data is accurate and adequate to be tremendously useful in UHP metamorphic rocks analysis.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Radiation and Isotopes - Volume 128, October 2017, Pages 55-67
نویسندگان
, , , , , ,