{"title":"Distinguishing Mineralized Intensity Based on Lacunarity Index of Au Element Grade","authors":"L. Wan, Jiaoxiu Ling, R. Shao","doi":"10.1109/IWCFTA.2010.74","DOIUrl":null,"url":null,"abstract":"Mineralized intensity is one of the key problems in the study of ore deposit. The mineralization degree in drifts can be categorized into non-mineralized, weakly mineralized, mineralized ranks based on the number of the gold grades greater than cut-off. In this paper, the lacunarity analysis is utilized to analyze the mineralized intensity in drifts of the Dayingezhuang gold ore deposit in Jiaodong, Shandong province, China. It shows that with the increase of mineralized rank, the lacunarity index becomes greater. The results will provide information for both the ore-forming process and the exploitation.","PeriodicalId":157339,"journal":{"name":"2010 International Workshop on Chaos-Fractal Theories and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Workshop on Chaos-Fractal Theories and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWCFTA.2010.74","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Mineralized intensity is one of the key problems in the study of ore deposit. The mineralization degree in drifts can be categorized into non-mineralized, weakly mineralized, mineralized ranks based on the number of the gold grades greater than cut-off. In this paper, the lacunarity analysis is utilized to analyze the mineralized intensity in drifts of the Dayingezhuang gold ore deposit in Jiaodong, Shandong province, China. It shows that with the increase of mineralized rank, the lacunarity index becomes greater. The results will provide information for both the ore-forming process and the exploitation.