• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Geochemical Exploration: Journal of the Association of Exploration Geochemists >Multivariate regression analysis of lithogeochemical data to model subsurface mineralization: a case study from the Sari Gunay epithermal gold deposit, NW Iran
【24h】

Multivariate regression analysis of lithogeochemical data to model subsurface mineralization: a case study from the Sari Gunay epithermal gold deposit, NW Iran

机译：岩石地球化学数据的多元回归分析以模拟地下矿化：来自伊朗西北部Sari Gunay超热金矿床的案例研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this contribution, multivariate regression was applied to surface channel rock and borehole geochemical data from the world-class Sari Gunay epithermal gold deposit, in northwest Iran, to model subsurface mineralization for further drilling. Multiple, factorial, polynomial and response surface regression models were applied to the geochemical data sets from a training mineralized area to evaluate the accuracy of these models using separate geochemical data from a test area. Geochemical data of 31 elements in surface channel rock samples were used as independent variables, and three parameters namely average grade, sum and productivity in individual 25 m by 25 m grid cells, obtained by kriging of borehole data, were used as dependent variables. All the multivariate regression models revealed high determination coefficients for three parameters, among which the response surface regression model yielded the highest values. The response surface regression yielded the best result, followed by the multiple regression, in modeling the geochemical data from the test area. Therefore, the result of the response surface regression was used to model subsurface gold mineralization at the Sari Gunay gold deposit in order to design additional drillings. (C) 2014 Elsevier B.V. All rights reserved.
机译：在此贡献中，将多元回归应用于来自伊朗西北部世界一流的Sari Gunay超热金矿床的地表通道岩石和井眼地球化学数据，以模拟地下矿化，以进行进一步钻探。将多个，阶乘，多项式和响应面回归模型应用于来自训练矿区的地球化学数据集，以使用来自测试区域的单独地球化学数据来评估这些模型的准确性。将地表通道岩石样品中的31种元素的地球化学数据用作自变量，并通过钻孔数据的克里金获得的各个25 m x 25 m网格单元中的平均等级，总和和生产率这三个参数用作因变量。所有多元回归模型均显示出三个参数的高确定系数，其中响应面回归模型产生最高值。在对测试区域的地球化学数据进行建模时，响应面回归产生了最佳结果，然后是多元回归。因此，响应面回归的结果被用来模拟萨里古奈金矿床的地下金矿化，以设计额外的钻探。 （C）2014 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号