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首页> 外文期刊>Exploration Geophysics >Toward improved coal density estimation from geophysical logs
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Toward improved coal density estimation from geophysical logs

机译:寻求通过地球物理测井提高煤炭密度

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Density plays an important role in coal resource estimation and reconciliation, as well as in defining coal quality. Current practice employs direct density measurements on widely spaced core samples, rather than utilising abundant geophysical logging data. This is mostly due to the perception that the precision and accuracy of density estimation from geophysical logs is unsatisfactory. This paper demonstrates that the density wireline log, supported by other geophysical logs, provides a reliable direct measurement of in-situ coal density. We have produced a consistent and reliable correlation of geophysical log density with a laboratory-derived density to within an accuracy of ±3%. This is achieved through careful constraints such as compensating for lost pore spaces and moisture to bring the laboratory relative density closer to in-situ environmental conditions, matching the laboratory sample depths with geophysical logs, excluding thin, boundary, and stone-band samples from the dataset, and calibrating the geophysical density with laboratory testing data and other geophysical logs by linear regression or Radial Basis Function and Self-Organised Mapping techniques. In addition, we also illustrate that the improved geophysical log density can be used for coal quality estimation.
机译:密度在煤炭资源估算和调节以及定义煤炭质量中起着重要作用。当前的实践是对间隔较宽的岩心样品进行直接密度测量,而不是利用大量的地球物理测井数据。这主要是由于人们认为从地球物理测井中估算密度的准确性和准确性不令人满意。本文证明了由其他地球物理测井仪支持的密度电缆测井仪可以可靠地直接测量原位煤的密度。我们已经将地球物理测井密度与实验室测得的密度进行了一致且可靠的关联,精度在±3%以内。这是通过谨慎的约束来实现的,例如,补偿丢失的孔隙空间和水分,使实验室的相对密度更接近于原位环境条件,使实验室样品的深度与地球物理测井相匹配,而将稀薄,边界和石带样品排除在外。数据集,并通过线性回归或径向基函数和自组织映射技术,用实验室测试数据和其他地球物理测井校准地球物理密度。此外,我们还说明了改进的地球物理测井密度可用于煤质估算。

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