Geochemical analysis of sandstones in Qom Formation to identify unknown data using comparison of data mining methods

Document Type : Original Article

Author

نظام مهندسی معدن

10.22034/jes.2023.253179

Abstract

Review:

The purpose of this study is to identify the missing and unknown data of the sandstones of Qom Formation based on the available geochemical data and to complete the information of the rock units of this formation in the data mining methods that are used to predict and track the analyzes used in The sample obtained Some data are unknown. For this purpose, after conducting geological studies, 30 samples were taken for XRD-XRF analysis. The samples are then analyzed by two methods of multiple linear correlation and curve fitting models to identify the best model and description for such unspecified data that are in some elements of the sample. The results of this study show that multivariate linear regression (MLR) should be used to predict samples that have a large amount of uncertain data and univariate methods in such fits can not provide accurate information.



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