Application of x-ray fluorescence technology in lithology discrimination

Guili Lui; Juan Zhai; Wei Zhang; Wanchang Lai; Ziqi Zhao; Wen Li; Guangxi Wang; Qiang Yang; Ran Chen

doi:10.1117/12.3025788

8 April 2024 Application of x-ray fluorescence technology in lithology discrimination

Guili Lui, Juan Zhai, Wei Zhang, Wanchang Lai, Ziqi Zhao, Wen Li, Guangxi Wang, Qiang Yang, Ran Chen

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130902S (2024) https://doi.org/10.1117/12.3025788
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

X-ray fluorescence data are not only an important indicator in petroleum exploration, but they are also an advantage in lithology discrimination. From the perspective of the application of nuclear technology in drilling and exploration, in this paper, the X-ray fluorescence count rate of the core is used as the basic data for core logging, and the geology and multivariate statistical data are analyzed to analyze the lithology of the core. X-ray fluorescence analysis can provide the fluorescence count rates of 35 elements in a core sample. If there are n core samples, an n*35 matrix can be created. If 35 types of fluorescence count rates are used as the independent variables to directly identify the lithology, the dataset is very large, and some of the independent variables are not strongly correlated. Therefore, the discrimination effect is insufficient for achieving the purpose. Therefore, based on the diagenetic characteristics of sedimentary rocks and the main rock-forming elements and using multivariate statistical methods, in this paper, the count rates of five elements (i.e., Si, Fe, Al, K, and Ca) are selected as independent variables for the lithology discrimination. It is reasonably transformed to obtain the matrix coefficients before dimensionality reduction. The original five-dimensional dataset is reduced to two dimensions using matrix coefficients. Then, Fisher's discriminant method is applied to the dimensionally reduced data to discriminate and classify the lithology. Based on the discrimination results, the X-ray fluorescence count rate and mathematical statistics can be used to obtain a good effect in lithology discrimination

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Guili Lui, Juan Zhai, Wei Zhang, Wanchang Lai, Ziqi Zhao, Wen Li, Guangxi Wang, Qiang Yang, and Ran Chen "Application of x-ray fluorescence technology in lithology discrimination", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130902S (8 April 2024); https://doi.org/10.1117/12.3025788

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KEYWORDS

Silicon

Aluminum

Calcium

Iron

X-ray fluorescence spectroscopy

Statistical analysis

Covariance matrices

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