首页 | 本学科首页   官方微博 | 高级检索  
     检索      

锑矿石化学物相分析方法选择性分离条件验证及准确度评估
引用本文:熊英,董亚妮,裴若会,崔长征,李映琴,杨艳芳,谢光晋.锑矿石化学物相分析方法选择性分离条件验证及准确度评估[J].岩矿测试,2017,36(2):156-162.
作者姓名:熊英  董亚妮  裴若会  崔长征  李映琴  杨艳芳  谢光晋
作者单位:长江大学地球物理与石油资源学院, 湖北 武汉 430100,中国地质科学院矿产资源研究所, 国土资源部成矿作用与资源评价重点实验室, 北京 100037,中国地质科学院矿产资源研究所, 国土资源部成矿作用与资源评价重点实验室, 北京 100037,长江大学地球物理与石油资源学院, 湖北 武汉 430100,中国地质科学院矿产资源研究所, 国土资源部成矿作用与资源评价重点实验室, 北京 100037,北京理工大学, 北京 100081,中国地质大学(北京)地球科学与资源学院, 北京 100083,长江大学地球物理与石油资源学院, 湖北 武汉 430100
基金项目:国家自然科学基金青年基金资助项目(41502089);国家重点基础研究发展计划(973计划)项目(2011CB403007);中央级公益性科研院所基本科研业务费项目(K1415);中国地质调查局钾盐资源调查评价项目(DD20160054,DD20160056)
摘    要:目前我国矿石化学物相分析方法,除少数方法具有较广泛的适应性外,多数方法均是针对某一具体矿区的样品而制定,在实际应用中无法确认分析结果的准确性和选择性分离流程的适应范围。验证化学物相分析方法的选择性分离流程及方法准确度是该领域必须解决的问题。本文以我国具有代表性的锑矿类型——单锑硫化矿为研究对象,通过岩矿鉴定确定锑的主要矿物相,从试验样品中挑选验证选择分离条件所需的单矿物,在无法获得锑华单矿物的情况下,通过价态分析确定了锑华与锑酸盐混合物中锑华的比例,并通过系列单矿物选择分离对比条件试验和X射线衍射分析,确定了锑华、辉锑矿和锑酸盐等锑物相的选择性分离条件。结果表明:对于硫化锑含量大于35%的样品,锑硫化相的选择浸出时间从传统的30 min调整为40 min,硫化锑的浸出率提高了4%~6%,硫化锑相对于锑酸盐的串相率降低了45%~70%,硫化锑相浸出完全,提高了硫化锑和黄锑矿相分析的准确度。该方法适用于不同地区、不同类型(氧化矿、硫化矿)锑矿石样品的锑化学物相分析。

关 键 词:江陵凹陷  钾盐  毛细管压力曲线  孔喉特征参数  储层物性  相关性模型
收稿时间:2016/4/8 0:00:00
修稿时间:2017/2/26 0:00:00

Selective Separation Condition Verification and Accuracy Evaluation of Chemical Phase Analysis Method for Antimony Ore
XIONG Ying,DONG Ya-ni,PEI Ruo-hui,CUI Chang-zheng,LI Ying-qin,YANG Yan-fang and XIE Guang-jin.Selective Separation Condition Verification and Accuracy Evaluation of Chemical Phase Analysis Method for Antimony Ore[J].Rock and Mineral Analysis,2017,36(2):156-162.
Authors:XIONG Ying  DONG Ya-ni  PEI Ruo-hui  CUI Chang-zheng  LI Ying-qin  YANG Yan-fang and XIE Guang-jin
Institution:Academy of Geophysics and Oil Resource, Yangtze University, Wuhan 430100, China,Key Laboratory of Metallogeny and Mineral Assessment, Ministry of Land and Resources, Institute of Mineral Resource, Chinese Academy of Geological Sciences, Beijing 100037, China,Key Laboratory of Metallogeny and Mineral Assessment, Ministry of Land and Resources, Institute of Mineral Resource, Chinese Academy of Geological Sciences, Beijing 100037, China,Academy of Geophysics and Oil Resource, Yangtze University, Wuhan 430100, China,Key Laboratory of Metallogeny and Mineral Assessment, Ministry of Land and Resources, Institute of Mineral Resource, Chinese Academy of Geological Sciences, Beijing 100037, China,Beijing Institute of Technology, Beijing 100081, China,School of the Earth Sciences and Resources, China University of Geosciences(Beijing), Beijing 100083, China and Academy of Geophysics and Oil Resource, Yangtze University, Wuhan 430100, China
Abstract:Currently, a few chemical phase analysis methods possess a common application, but most of them are designed for samples in a specific ore district and thus the accuracy of analytical results and the application range of a selected analytical process are not certain. Verification of chemical phase analysis by selected analytical process and method accuracy are the primary problem in this field. The representative antimony ore type, single antimony sulfide ore was chosen as the research object for the study. The main mineral phases of antimony are determined by mineral identification. When valentinite mineral cannot be acquired, the proportion of valentinite in mixing oxide ore (mixture of valentinite and antimonate) is determined by valence analysis. Moreover, the selected separation condition among valentinite, stibnite and antimonate is determined by comparison of condition experiment and X-ray Diffraction Analysis. Results show for the sample with antimony suldide content higher than 35%, the extraction time for the antimony sulfide phase should change from 30 minutes to 40 minutes. When the leaching rate of stibnite is increased by 4%-6%, the analysis error of antimonates phase can be reduced by 45%-70%. Antimony sulfide was leached completely, and the analysis accuracy of antimonite and cervantite phases improved. This method is suitable for chemical phase analysis of different types of ores (oxidized and sulfide ores) from different regions.
Keywords:Jiangling Depression  sylvite  capillary pressure curve  pore structure parameter  reservoir property  correlation model
本文献已被 CNKI 等数据库收录!
点击此处可从《岩矿测试》浏览原始摘要信息
点击此处可从《岩矿测试》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号