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Quantitative Geophysical Log Interpretation for Geotechnical and Geological Assessment of Coal Measure Rocks

机译:煤水测量岩石地质和地质评估的定量地球物理测井解释

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Borehole geophysical logging data are routinely acquired during exploration of coal deposits in Australia. These data are commonly used qualitatively to identify and correlate coal seams and geotechnically significant interburden rock units. Some quantitative analysis, such as using sonic logs for rock strength estimation is becoming increasingly widespread. This paper discusses results from a project aimed at expanding the quantitative approach to more detailed mineralogical and lithological analysis, which leads to improved geotechnical characterisation for mine planning and mining hazard reduction. A standard suite of wireline logs measuring density, natural gamma, sonic and neutron were analysed from three coal mines in the Bowen Basin. Thirty-nine samples from cored sections of the boreholes were analysed by X-ray diffraction, spectral gamma counts and hyperspectral scanning. Using a standard petrophysical approach to calculating porosity, shale and matrix components from a combination of density, natural gamma and neutron logs, a good correlation with observed mineralogy was demonstrated. However, unusual mineralogies such as heavy minerals or low-potassium clays may distort this analysis. Simultaneous evaluation of all available geophysical logs by modern data mining methods was able to show how these ambiguities may be solved.
机译:在澳大利亚煤矿勘探期间,钻孔地球物理测井数据经常获得。这些数据通常用于定性地用于识别和关联煤层和岩土性显着的中间岩石单元。一些定量分析,例如使用Sonic对岩石强度估计的测量越来越普遍。本文讨论了一个项目的结果,该项目旨在扩大更详细的矿物学和岩性分析的定量方法,这导致矿山规划和采矿危害减少的岩土性表征。从Bowen盆地的三个煤矿分析了一个标准的有线原木测量密度,天然伽玛,声波和中子。通过X射线衍射分析来自钻孔的芯片部分的三十九个样品,光谱伽马计数和高光谱扫描分析。利用标准的岩石物理方法来计算孔隙率,页岩和基质组分从密度,天然伽马和中子日志的组合,对观察到的矿物学进行了良好的相关性。然而,诸如重型矿物质或低钾粘土的异常矿物质可能会扭曲该分析。通过现代数据挖掘方法同时评估所有可用的地球物理日志,能够展示如何解决这些含糊不清。

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