岩石矿物学杂志2025，Vol.44Issue(5)：1257-1266,10.DOI:10.20086/j.cnki.yskw.2025.4086
基于红外反射光谱的沉积岩分类识别方法研究
Research on recognition of sedimentary rocks using infrared reflectance spectroscopy
摘要
Abstract
Sedimentary rocks are widely distributed on the surface and contain abundant solid minerals and hydro-carbon resources.The accurate identification of sedimentary rocks is of great significance for basic geological re-search and the exploration of solid minerals and hydrocarbon resources.At present,lithology identification of sedi-mentary rocks mainly relies on visual identification,optical identification and X-ray powder diffraction analysis.These methods have many problems such as great influence of subjective factors,long experiment period and high cost which can not meet the needs of real-time lithology results acquisition in the field.In this paper,four typical sedimentary rocks of terrigenous clastic rocks(sandstone and mudstone)and carbonate rock(limestone and dolo-mite)are identified rapidly by the quartz abundance index(8625D),carbonate abundance index(6500D),carbonate composition index(2340W),illite-smectite mixed layer abundance index(2200D),kaolinite abundance index(2160D2190)and rock brightness index(Albedo_SWIR),which is combined infrared reflectance spectroscopy with binary intersection graphic method.The overall recognition rate is more than 90％.This study provides a rapid,non-destructive and objective identification method for sedimentary rock lithology and has a good application prospect,which plays an important significance for the subsequent research on detailed cataloging of cores,strati-graphic division,sedimentary facies division,and physical property evaluation of carbonate reservoir.关键词
红外反射光谱/沉积岩/岩性识别/光谱吸收特征/二元交汇图解Key words
infrared reflection spectroscopy/sedimentary rock/lithology identification/spectral absorption charac-teristics/binary intersection diagram分类
天文与地球科学引用本文复制引用
张弘,原春雨,赵龙贤,史维鑫,刘军媛..基于红外反射光谱的沉积岩分类识别方法研究[J].岩石矿物学杂志,2025,44(5):1257-1266,10.基金项目
中国地质调查局地质调查项目(DD20230138) China Geological Survey Project(DD20230138) （DD20230138）
