A procedure to recognize individual discontinuities in rock mass from measurement while drilling(MWD)technology is developed,using the binary pattern of structural rock characteristics obtained from in-hole images for...A procedure to recognize individual discontinuities in rock mass from measurement while drilling(MWD)technology is developed,using the binary pattern of structural rock characteristics obtained from in-hole images for calibration.Data from two underground operations with different drilling technology and different rock mass characteristics are considered,which generalizes the application of the methodology to different sites and ensures the full operational integration of MWD data analysis.Two approaches are followed for site-specific structural model building:a discontinuity index(DI)built from variations in MWD parameters,and a machine learning(ML)classifier as function of the drilling parameters and their variability.The prediction ability of the models is quantitatively assessed as the rate of recognition of discontinuities observed in borehole logs.Differences between the parameters involved in the models for each site,and differences in their weights,highlight the site-dependence of the resulting models.The ML approach offers better performance than the classical DI,with recognition rates in the range 89%to 96%.However,the simpler DI still yields fairly accurate results,with recognition rates 70%to 90%.These results validate the adaptive MWD-based methodology as an engineering solution to predict rock structural condition in underground mining operations.展开更多
文章基于长江经济带非金属矿产数据,利用地理信息系统(geographic information system,GIS)空间分析方法和脱钩模型研究2007—2018年期间该地区非金属矿采矿权分布的时空变化特征。结果表明:非金属矿开采重心呈现出向西部地区移动的趋势...文章基于长江经济带非金属矿产数据,利用地理信息系统(geographic information system,GIS)空间分析方法和脱钩模型研究2007—2018年期间该地区非金属矿采矿权分布的时空变化特征。结果表明:非金属矿开采重心呈现出向西部地区移动的趋势;非金属矿采矿权分布呈现“西南—东北”的空间格局,且非金属矿高开采强度区呈现出收缩趋势;非金属矿采矿权分布具有显著的空间正相关特性,其中,高-高类型区域分布在贵州、江西等省份,低-低类型区域分布在浙江、江苏、安徽等省份;非金属矿采矿权面积与经济增长脱钩状态稳定,脱钩情况理想,经济发展对非金属矿产开发依赖性减小;建筑石料用灰岩采矿权分布的时空规律和非金属矿采矿权分布的时空规律相似,均呈现开采重心向西部偏移的态势。该研究结果反映了在2007—2018年中国经济高速发展期间,长江经济带非金属矿采矿权分布的时空特征变化及其影响因素,为今后非金属矿产资源开发空间布局优化提供空间决策参考。展开更多
The bottom ashes resulted annually from the incineration of municipal solid waste in Europe contain about 400,000 tonnes of metallic aluminium and 200,000 tonnes of heavy non-ferrous metals, such as copper and zinc. E...The bottom ashes resulted annually from the incineration of municipal solid waste in Europe contain about 400,000 tonnes of metallic aluminium and 200,000 tonnes of heavy non-ferrous metals, such as copper and zinc. Efficient recovery of this non-ferrous metal resource requires state-of-the-art separation technologies and a continuous feedback of laboratory analyses of the metal products and the depleted bottom ash to the operators of the bottom ash treatment plants. A methodology is presented for the optimization of the production of non-ferrous metal value from Municipal Solid Waste Incinerator bottom ash. Results for an incineration plant in the Netherlands show that efficient recycling can have a significant impact on value recovery as well as on non-ferrous metal recycling rates, producing up to 8% more revenue and 25% more metals from the ash.展开更多
基金conducted under the illu MINEation project, funded by the European Union’s Horizon 2020 research and innovation program under grant agreement (No. 869379)supported by the China Scholarship Council (No. 202006370006)
文摘A procedure to recognize individual discontinuities in rock mass from measurement while drilling(MWD)technology is developed,using the binary pattern of structural rock characteristics obtained from in-hole images for calibration.Data from two underground operations with different drilling technology and different rock mass characteristics are considered,which generalizes the application of the methodology to different sites and ensures the full operational integration of MWD data analysis.Two approaches are followed for site-specific structural model building:a discontinuity index(DI)built from variations in MWD parameters,and a machine learning(ML)classifier as function of the drilling parameters and their variability.The prediction ability of the models is quantitatively assessed as the rate of recognition of discontinuities observed in borehole logs.Differences between the parameters involved in the models for each site,and differences in their weights,highlight the site-dependence of the resulting models.The ML approach offers better performance than the classical DI,with recognition rates in the range 89%to 96%.However,the simpler DI still yields fairly accurate results,with recognition rates 70%to 90%.These results validate the adaptive MWD-based methodology as an engineering solution to predict rock structural condition in underground mining operations.
文摘文章基于长江经济带非金属矿产数据,利用地理信息系统(geographic information system,GIS)空间分析方法和脱钩模型研究2007—2018年期间该地区非金属矿采矿权分布的时空变化特征。结果表明:非金属矿开采重心呈现出向西部地区移动的趋势;非金属矿采矿权分布呈现“西南—东北”的空间格局,且非金属矿高开采强度区呈现出收缩趋势;非金属矿采矿权分布具有显著的空间正相关特性,其中,高-高类型区域分布在贵州、江西等省份,低-低类型区域分布在浙江、江苏、安徽等省份;非金属矿采矿权面积与经济增长脱钩状态稳定,脱钩情况理想,经济发展对非金属矿产开发依赖性减小;建筑石料用灰岩采矿权分布的时空规律和非金属矿采矿权分布的时空规律相似,均呈现开采重心向西部偏移的态势。该研究结果反映了在2007—2018年中国经济高速发展期间,长江经济带非金属矿采矿权分布的时空特征变化及其影响因素,为今后非金属矿产资源开发空间布局优化提供空间决策参考。
文摘The bottom ashes resulted annually from the incineration of municipal solid waste in Europe contain about 400,000 tonnes of metallic aluminium and 200,000 tonnes of heavy non-ferrous metals, such as copper and zinc. Efficient recovery of this non-ferrous metal resource requires state-of-the-art separation technologies and a continuous feedback of laboratory analyses of the metal products and the depleted bottom ash to the operators of the bottom ash treatment plants. A methodology is presented for the optimization of the production of non-ferrous metal value from Municipal Solid Waste Incinerator bottom ash. Results for an incineration plant in the Netherlands show that efficient recycling can have a significant impact on value recovery as well as on non-ferrous metal recycling rates, producing up to 8% more revenue and 25% more metals from the ash.
