...
首页> 外文期刊>Resources policy >The impact of variability and correlation of selected geological parameters on the economic assessment of bituminous coal deposits with use of non parametric bootstrap and copula-based Monte Carlo simulation
【24h】

The impact of variability and correlation of selected geological parameters on the economic assessment of bituminous coal deposits with use of non parametric bootstrap and copula-based Monte Carlo simulation

机译:各种地质参数的变异性和相关性对沥青煤矿经济评估的影响,采用非参数释放和基于Copula的Monte Carlo仿真

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

This paper presents an assessment of the impact of variability and interdependencies of selected deposit parameters on the net present value (NPV) and internal rate of return (IRR). The subjects of the analyses were three economically viable seams at one of the bituminous coal deposits in Poland. The source of information was the geological model and operational data of the mine "X". The simulation was developed based on non-parametric bootstrapping, where the influence of coal quality parameters, seam thickness, spatial density of coal, and waste rock derived from coal partings, floor cutting and dinting, and roof falls, was tested.
机译:本文提出了对所选存款参数的变异性和相互依存性对净净值(NPV)和内部返回率(IRR)的影响评估。 分析的受试者是波兰波兰之一的三个经济上活接缝。 信息来源是矿山“X”的地质模型和运营数据。 基于非参数自动启动开发了模拟,其中煤炭质量参数,煤炭厚度,煤的空间密度和煤炭分离,地板切割和拟订的废岩体以及屋顶落下的影响。

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