...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal Of The South African Institute Of Mining & Metallurgy >Improving processing by adaption to conditional geostatistical simulation of block compositions
【24h】

Improving processing by adaption to conditional geostatistical simulation of block compositions

机译：通过适应块组成的条件地统计模拟来改进处理

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

Exploitation of an ore deposit can be optimized by adapting the benefi-ciation processes to the properties of individual ore blocks. This can involve switching in and out certain treatment steps, or setting their controlling parameters. Optimizing this set of decisions requires the full conditional distribution of all relevant physical parameters and chemical attributes of the feed, including concentration of value elements and abundance of penalty elements. As a first step towards adaptive processing, the mapping of adaptive decisions is explored based on the composition, in value and penalty elements, of the selective mining units.Conditional distributions at block support are derived from cokriging and geostatistical simulation of log-ratios. A one-to-one log-ratio transformation is applied to the data, followed by modelling via classical multivariate geostatistical tools, and subsequent back-transforming of predictions and simulations. Back-transformed point-support simulations can then be averaged to obtain block averages that are fed into the process chain model.The approach is illustrated with a 'toy' example where a four-component system (a value element, two penalty elements, and some liberable material) is benericiated through a chain of technical processes. The results show that a gain function based on full distributions outperforms the more traditional approach of using unbiased estimates.
机译：可以通过使选矿工艺适应各个矿块的性质来优化矿床的开采。这可能涉及切入和切出某些处理步骤，或设置其控制参数。优化这套决策需要对饲料的所有相关物理参数和化学属性进行完整的条件分配，包括价值元素的浓度和惩罚元素的含量。作为适应性处理的第一步，基于选择性采矿单元的价值和惩罚元素的组成，探索适应性决策的映射。块支持下的条件分布是通过对数比例的协同克里格法和地统计学模拟得出的。将一对一的对数比率转换应用于数据，然后通过经典的多元地统计工具进行建模，然后对预测和模拟进行反转换。然后可以对经过逆变换的点支持模拟求平均值，以获取输入到过程链模型中的块平均值。该方法通过一个``玩具''示例进行说明，其中有四个组件系统（一个值元素，两个惩罚元素和一个一些可释放的材料）通过一系列技术流程获得了美化。结果表明，基于全分布的增益函数优于使用无偏估计的传统方法。

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