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Coal quality estimation using geophysical logging without radioactive sources

机译：使用没有放射源的地球物理测井煤质估算

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This study investigates geophysical logging capacity to predict coal quality. It was analyzed for possible correlation, some parameters determined via laboratory analysis of coal against results for the same parameter derived from wireline logs recorded by a geophysical probe. These probes detect variations in some rock physical properties, such as their natural gamma ray emissions and electrical resistivity. Results showed a strong correlation between natural gamma and ash content, establishing a linear model to estimate ash content from geophysical logging data with a low estimation error (less than 5%). Besides, results showed that there is no correlation between sulphur content or volatile matter and resistivity, neither with natural gamma of the rocks. Ash content derived from gamma ray values can be used as secondary information to evaluate coal quality during resources estimation, using methods such as soft indicator kriging. The methodology is illustrated using a case study at a coal deposit in south of Brazil.
机译：本研究调查了地球物理测井能力来预测煤质。分析了可能的相关性，一些参数通过煤的实验室分析确定，反对来自地球物理探针记录的有线日志的相同参数的结果。这些探测器检测一些岩石物理性质的变化，例如它们的天然伽马射线排放和电阻率。结果表明，天然γ和灰分含量之间的相关性，建立了线性模型，以利用低估计误差（小于5％）从地球物理测井数据中估算灰分内容的线性模型。此外，结果表明，硫含量或挥发性物质与电阻率之间没有相关性，既不是岩石的天然伽马。源于伽马射线值的灰分含量可以用作辅助信息以评估资源估计期间的煤质，使用软指示克里格等方法。使用巴西南部的煤矿矿床进行说明方法。

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