世界核地质科学2024，Vol.41Issue(6)：1168-1181,14.DOI:10.3969/j.issn.1672-0636.2024.06.009
基于小波变换的铀矿测井岩性自动识别方法研究
Research on the automatic identifying method for sedimentary rocks in uranium logging based on wavelet transform
李冬伟 1李猛 1李光辉 1喻哲2
作者信息
- 1. 中核内蒙古矿业有限公司,内蒙古呼和浩特,010020
- 2. 铀资源探采与核遥感全国重点实验室,北京 100029||核工业北京地质研究院,北京 100029||中核集团铀资源勘查与评价技术重点实验室,北京 100029
- 折叠
摘要
Abstract
Core free drilling is an inevitable trend in the development of uranium exploration.This article focused on the method of lithology identification with logging uranium based on wavelet transform,which can provide complete lithology data for geology study and meet the needs of precise interpretation for practical production in the field.Firstly,the intersecting plots of different logging curves was depicted for different lithology so as to determine the most sensitive logging curve of different lithology with three lateral resistivity curve;then the wavelet transforms was preformed on the three normalized lateral resistivity logging curves with different wavelet functions and decomposition scales,and the Haar wavelet function and 5-layer decomposition were found the optimal by comparing its result with geological documentation record;next,the Haar wavelet function and 5-layer decomposition were used to process the normalized three lateral resistivity curve and obtain the low-frequency wavelet coefficients after 5-layer decomposition.Finally,the stratigraphic and lithological data of the study block were used to calculate the different weighting coefficients for different lithology and automatically identify the stratigraphic lithology.The effectiveness and accuracy of this method were verified by the drilling and logging data of a basin.关键词
小波变换/砂岩型铀矿/岩性识别/测井曲线/小波系数Key words
wavelet transform/sandstone-type uranium deposit/lithological identification/logging curve/wavelet coefficient分类
天文与地球科学引用本文复制引用
李冬伟,李猛,李光辉,喻哲..基于小波变换的铀矿测井岩性自动识别方法研究[J].世界核地质科学,2024,41(6):1168-1181,14.
